Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Session Overview | |
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Location: ETH, UG hall ETH, -1 / UG floor poster area |
| Date: Monday, 25/Aug/2025 | |
| 10:45am - 11:30am |
Poster Exhibition: M / Monday posters at ETH Location: ETH, UG hall Cardio-metabolic traits and its socioeconomic differentials among school children including MONW phenotypes in India: A baseline characteristics of LEAP-C cohort External validation of SMART2 model for recurrent cardiovascular risk Multi-disease risk models to target concomitant diseases and their interactions: Insights on cardio-renal-metabolic syndrome in England Machine learning methods for analyzing longitudinal health data streams: A comparative study Evaluating the fairness of a clinical prediction model for outcomes following psychological treatment in the UK’s National Health Service Multiple Imputation vs. Machine Learning for Handling Missing Data in Prediction Modelling: Which Best Balances Stability, Performance, and Computational Efficiency? Estimating rates of dental treatment and unmet dental need in a spatially explicit model in children in England, 2016-2018 Statistical Approach to Assess the Impact of Hospital Settings on Optimal Staffing Levels Real-time predictions of bed occupancy in hospitals. Positive and negative predictive values of diagnostic tests using area under the curve Freely accessible software for recruitment prediction and recruitment monitoring: Is it necessary? On moderation in a Bayesian log-contrast compositional model with a total. Interaction between extreme temperatures and pollutants on mortality Graphical inference in nonparametric hypothesis testing: A two-dimensional grid framework for analysis and visualization On regression analysis of interval-valued data based on order statistics Two-sided Beyesian simultaneous credible bands in linear regression model Cell composition analysis with unmeasured confounding Temporal transcriptomic analysis of microexon alternative splicing in mouse neurodevelopmental genes A Robust Method for Accurate Reconstruction of 3D Genome Conformation from Hi-C Data Balancing Accuracy, Clinical Utility, and Explainability: A Machine Learning Approach to Prostate Cancer Prediction Development of a thyroid cancer recurrence prediction calculator: A regression approach A comparison of methods for modelling multi-state cancer progression using screening data with censoring after intervention ADHD and 10–Year Disease Progression from Initiating Pharmacotherapy for Hypertension to Death: A Multistate Modelling Analysis Understanding PSA Dynamics: Integrating Longitudinal Trajectories, Testing Patterns, and Disease Progression. Joint Modeling for Principal Stratification: Analyzing Stroke Events in CADASIL Patients Across NOTCH3 Variants Challenges in modelling neuropsychiatric symptoms in early Alzheimer's Disease Network models to decipher the Human exposome : application to food exposome patterns in the general population Study brain connectivity changes in Dementia with Lewy Bodies with Functional Conditional Gaussian Graphical Models LongiSurvSHAP: Explaining Survival Models with Longitudinal Features Prognostic Models for Recurrent Event Data Unlocking diagnosis code for longitudinal modeling through representations from large language models Machine Learning Perspectives in Survival Prediction Model Selection: Frequentist vs. Bayesian Approach Non-parametric methods for comparing survival functions with censored data: Exhaustive simulation of all possible beyond-observed censoring scenarios and computational analysis Tree-based methods for length-biased survival data Evaluating different pragmatic approaches for selecting the truncation time of the restricted mean survival time in randomized controlled trials Identifying risk factors for hospital readmission in home-based care: a study from a monographic paediatric cancer centre A web-application for predicting Serious Adverse Event for guiding the enrollment procedure in Clinical Trials with Machine Learning Methods Assessing the Overall Burden of Adverse Events in Clinical Trials: Approaches and Challenges |
| 11:30am - 1:00pm |
Poster Exhibition: M / Monday posters at ETH Location: ETH, UG hall Cardio-metabolic traits and its socioeconomic differentials among school children including MONW phenotypes in India: A baseline characteristics of LEAP-C cohort External validation of SMART2 model for recurrent cardiovascular risk Multi-disease risk models to target concomitant diseases and their interactions: Insights on cardio-renal-metabolic syndrome in England Machine learning methods for analyzing longitudinal health data streams: A comparative study Evaluating the fairness of a clinical prediction model for outcomes following psychological treatment in the UK’s National Health Service Multiple Imputation vs. Machine Learning for Handling Missing Data in Prediction Modelling: Which Best Balances Stability, Performance, and Computational Efficiency? Estimating rates of dental treatment and unmet dental need in a spatially explicit model in children in England, 2016-2018 Statistical Approach to Assess the Impact of Hospital Settings on Optimal Staffing Levels Real-time predictions of bed occupancy in hospitals. Positive and negative predictive values of diagnostic tests using area under the curve Freely accessible software for recruitment prediction and recruitment monitoring: Is it necessary? On moderation in a Bayesian log-contrast compositional model with a total. Interaction between extreme temperatures and pollutants on mortality Graphical inference in nonparametric hypothesis testing: A two-dimensional grid framework for analysis and visualization On regression analysis of interval-valued data based on order statistics Two-sided Beyesian simultaneous credible bands in linear regression model Cell composition analysis with unmeasured confounding Temporal transcriptomic analysis of microexon alternative splicing in mouse neurodevelopmental genes A Robust Method for Accurate Reconstruction of 3D Genome Conformation from Hi-C Data Balancing Accuracy, Clinical Utility, and Explainability: A Machine Learning Approach to Prostate Cancer Prediction Development of a thyroid cancer recurrence prediction calculator: A regression approach A comparison of methods for modelling multi-state cancer progression using screening data with censoring after intervention ADHD and 10–Year Disease Progression from Initiating Pharmacotherapy for Hypertension to Death: A Multistate Modelling Analysis Understanding PSA Dynamics: Integrating Longitudinal Trajectories, Testing Patterns, and Disease Progression. Joint Modeling for Principal Stratification: Analyzing Stroke Events in CADASIL Patients Across NOTCH3 Variants Challenges in modelling neuropsychiatric symptoms in early Alzheimer's Disease Network models to decipher the Human exposome : application to food exposome patterns in the general population Study brain connectivity changes in Dementia with Lewy Bodies with Functional Conditional Gaussian Graphical Models LongiSurvSHAP: Explaining Survival Models with Longitudinal Features Prognostic Models for Recurrent Event Data Unlocking diagnosis code for longitudinal modeling through representations from large language models Machine Learning Perspectives in Survival Prediction Model Selection: Frequentist vs. Bayesian Approach Non-parametric methods for comparing survival functions with censored data: Exhaustive simulation of all possible beyond-observed censoring scenarios and computational analysis Tree-based methods for length-biased survival data Evaluating different pragmatic approaches for selecting the truncation time of the restricted mean survival time in randomized controlled trials Identifying risk factors for hospital readmission in home-based care: a study from a monographic paediatric cancer centre A web-application for predicting Serious Adverse Event for guiding the enrollment procedure in Clinical Trials with Machine Learning Methods Assessing the Overall Burden of Adverse Events in Clinical Trials: Approaches and Challenges |
| 1:00pm - 2:00pm |
Poster Exhibition: M / Monday posters at ETH Location: ETH, UG hall Cardio-metabolic traits and its socioeconomic differentials among school children including MONW phenotypes in India: A baseline characteristics of LEAP-C cohort External validation of SMART2 model for recurrent cardiovascular risk Multi-disease risk models to target concomitant diseases and their interactions: Insights on cardio-renal-metabolic syndrome in England Machine learning methods for analyzing longitudinal health data streams: A comparative study Evaluating the fairness of a clinical prediction model for outcomes following psychological treatment in the UK’s National Health Service Multiple Imputation vs. Machine Learning for Handling Missing Data in Prediction Modelling: Which Best Balances Stability, Performance, and Computational Efficiency? Estimating rates of dental treatment and unmet dental need in a spatially explicit model in children in England, 2016-2018 Statistical Approach to Assess the Impact of Hospital Settings on Optimal Staffing Levels Real-time predictions of bed occupancy in hospitals. Positive and negative predictive values of diagnostic tests using area under the curve Freely accessible software for recruitment prediction and recruitment monitoring: Is it necessary? On moderation in a Bayesian log-contrast compositional model with a total. Interaction between extreme temperatures and pollutants on mortality Graphical inference in nonparametric hypothesis testing: A two-dimensional grid framework for analysis and visualization On regression analysis of interval-valued data based on order statistics Two-sided Beyesian simultaneous credible bands in linear regression model Cell composition analysis with unmeasured confounding Temporal transcriptomic analysis of microexon alternative splicing in mouse neurodevelopmental genes A Robust Method for Accurate Reconstruction of 3D Genome Conformation from Hi-C Data Balancing Accuracy, Clinical Utility, and Explainability: A Machine Learning Approach to Prostate Cancer Prediction Development of a thyroid cancer recurrence prediction calculator: A regression approach A comparison of methods for modelling multi-state cancer progression using screening data with censoring after intervention ADHD and 10–Year Disease Progression from Initiating Pharmacotherapy for Hypertension to Death: A Multistate Modelling Analysis Understanding PSA Dynamics: Integrating Longitudinal Trajectories, Testing Patterns, and Disease Progression. Joint Modeling for Principal Stratification: Analyzing Stroke Events in CADASIL Patients Across NOTCH3 Variants Challenges in modelling neuropsychiatric symptoms in early Alzheimer's Disease Network models to decipher the Human exposome : application to food exposome patterns in the general population Study brain connectivity changes in Dementia with Lewy Bodies with Functional Conditional Gaussian Graphical Models LongiSurvSHAP: Explaining Survival Models with Longitudinal Features Prognostic Models for Recurrent Event Data Unlocking diagnosis code for longitudinal modeling through representations from large language models Machine Learning Perspectives in Survival Prediction Model Selection: Frequentist vs. Bayesian Approach Non-parametric methods for comparing survival functions with censored data: Exhaustive simulation of all possible beyond-observed censoring scenarios and computational analysis Tree-based methods for length-biased survival data Evaluating different pragmatic approaches for selecting the truncation time of the restricted mean survival time in randomized controlled trials Identifying risk factors for hospital readmission in home-based care: a study from a monographic paediatric cancer centre A web-application for predicting Serious Adverse Event for guiding the enrollment procedure in Clinical Trials with Machine Learning Methods Assessing the Overall Burden of Adverse Events in Clinical Trials: Approaches and Challenges |
| 2:00pm - 3:30pm |
Poster Exhibition: M / Monday posters at ETH Location: ETH, UG hall Cardio-metabolic traits and its socioeconomic differentials among school children including MONW phenotypes in India: A baseline characteristics of LEAP-C cohort External validation of SMART2 model for recurrent cardiovascular risk Multi-disease risk models to target concomitant diseases and their interactions: Insights on cardio-renal-metabolic syndrome in England Machine learning methods for analyzing longitudinal health data streams: A comparative study Evaluating the fairness of a clinical prediction model for outcomes following psychological treatment in the UK’s National Health Service Multiple Imputation vs. Machine Learning for Handling Missing Data in Prediction Modelling: Which Best Balances Stability, Performance, and Computational Efficiency? Estimating rates of dental treatment and unmet dental need in a spatially explicit model in children in England, 2016-2018 Statistical Approach to Assess the Impact of Hospital Settings on Optimal Staffing Levels Real-time predictions of bed occupancy in hospitals. Positive and negative predictive values of diagnostic tests using area under the curve Freely accessible software for recruitment prediction and recruitment monitoring: Is it necessary? On moderation in a Bayesian log-contrast compositional model with a total. Interaction between extreme temperatures and pollutants on mortality Graphical inference in nonparametric hypothesis testing: A two-dimensional grid framework for analysis and visualization On regression analysis of interval-valued data based on order statistics Two-sided Beyesian simultaneous credible bands in linear regression model Cell composition analysis with unmeasured confounding Temporal transcriptomic analysis of microexon alternative splicing in mouse neurodevelopmental genes A Robust Method for Accurate Reconstruction of 3D Genome Conformation from Hi-C Data Balancing Accuracy, Clinical Utility, and Explainability: A Machine Learning Approach to Prostate Cancer Prediction Development of a thyroid cancer recurrence prediction calculator: A regression approach A comparison of methods for modelling multi-state cancer progression using screening data with censoring after intervention ADHD and 10–Year Disease Progression from Initiating Pharmacotherapy for Hypertension to Death: A Multistate Modelling Analysis Understanding PSA Dynamics: Integrating Longitudinal Trajectories, Testing Patterns, and Disease Progression. Joint Modeling for Principal Stratification: Analyzing Stroke Events in CADASIL Patients Across NOTCH3 Variants Challenges in modelling neuropsychiatric symptoms in early Alzheimer's Disease Network models to decipher the Human exposome : application to food exposome patterns in the general population Study brain connectivity changes in Dementia with Lewy Bodies with Functional Conditional Gaussian Graphical Models LongiSurvSHAP: Explaining Survival Models with Longitudinal Features Prognostic Models for Recurrent Event Data Unlocking diagnosis code for longitudinal modeling through representations from large language models Machine Learning Perspectives in Survival Prediction Model Selection: Frequentist vs. Bayesian Approach Non-parametric methods for comparing survival functions with censored data: Exhaustive simulation of all possible beyond-observed censoring scenarios and computational analysis Tree-based methods for length-biased survival data Evaluating different pragmatic approaches for selecting the truncation time of the restricted mean survival time in randomized controlled trials Identifying risk factors for hospital readmission in home-based care: a study from a monographic paediatric cancer centre A web-application for predicting Serious Adverse Event for guiding the enrollment procedure in Clinical Trials with Machine Learning Methods Assessing the Overall Burden of Adverse Events in Clinical Trials: Approaches and Challenges |
| 3:30pm - 4:00pm |
Poster Exhibition: M / Monday posters at ETH Location: ETH, UG hall Cardio-metabolic traits and its socioeconomic differentials among school children including MONW phenotypes in India: A baseline characteristics of LEAP-C cohort External validation of SMART2 model for recurrent cardiovascular risk Multi-disease risk models to target concomitant diseases and their interactions: Insights on cardio-renal-metabolic syndrome in England Machine learning methods for analyzing longitudinal health data streams: A comparative study Evaluating the fairness of a clinical prediction model for outcomes following psychological treatment in the UK’s National Health Service Multiple Imputation vs. Machine Learning for Handling Missing Data in Prediction Modelling: Which Best Balances Stability, Performance, and Computational Efficiency? Estimating rates of dental treatment and unmet dental need in a spatially explicit model in children in England, 2016-2018 Statistical Approach to Assess the Impact of Hospital Settings on Optimal Staffing Levels Real-time predictions of bed occupancy in hospitals. Positive and negative predictive values of diagnostic tests using area under the curve Freely accessible software for recruitment prediction and recruitment monitoring: Is it necessary? On moderation in a Bayesian log-contrast compositional model with a total. Interaction between extreme temperatures and pollutants on mortality Graphical inference in nonparametric hypothesis testing: A two-dimensional grid framework for analysis and visualization On regression analysis of interval-valued data based on order statistics Two-sided Beyesian simultaneous credible bands in linear regression model Cell composition analysis with unmeasured confounding Temporal transcriptomic analysis of microexon alternative splicing in mouse neurodevelopmental genes A Robust Method for Accurate Reconstruction of 3D Genome Conformation from Hi-C Data Balancing Accuracy, Clinical Utility, and Explainability: A Machine Learning Approach to Prostate Cancer Prediction Development of a thyroid cancer recurrence prediction calculator: A regression approach A comparison of methods for modelling multi-state cancer progression using screening data with censoring after intervention ADHD and 10–Year Disease Progression from Initiating Pharmacotherapy for Hypertension to Death: A Multistate Modelling Analysis Understanding PSA Dynamics: Integrating Longitudinal Trajectories, Testing Patterns, and Disease Progression. Joint Modeling for Principal Stratification: Analyzing Stroke Events in CADASIL Patients Across NOTCH3 Variants Challenges in modelling neuropsychiatric symptoms in early Alzheimer's Disease Network models to decipher the Human exposome : application to food exposome patterns in the general population Study brain connectivity changes in Dementia with Lewy Bodies with Functional Conditional Gaussian Graphical Models LongiSurvSHAP: Explaining Survival Models with Longitudinal Features Prognostic Models for Recurrent Event Data Unlocking diagnosis code for longitudinal modeling through representations from large language models Machine Learning Perspectives in Survival Prediction Model Selection: Frequentist vs. Bayesian Approach Non-parametric methods for comparing survival functions with censored data: Exhaustive simulation of all possible beyond-observed censoring scenarios and computational analysis Tree-based methods for length-biased survival data Evaluating different pragmatic approaches for selecting the truncation time of the restricted mean survival time in randomized controlled trials Identifying risk factors for hospital readmission in home-based care: a study from a monographic paediatric cancer centre A web-application for predicting Serious Adverse Event for guiding the enrollment procedure in Clinical Trials with Machine Learning Methods Assessing the Overall Burden of Adverse Events in Clinical Trials: Approaches and Challenges |
| 4:00pm - 5:30pm |
Poster Exhibition: M / Monday posters at ETH Location: ETH, UG hall Cardio-metabolic traits and its socioeconomic differentials among school children including MONW phenotypes in India: A baseline characteristics of LEAP-C cohort External validation of SMART2 model for recurrent cardiovascular risk Multi-disease risk models to target concomitant diseases and their interactions: Insights on cardio-renal-metabolic syndrome in England Machine learning methods for analyzing longitudinal health data streams: A comparative study Evaluating the fairness of a clinical prediction model for outcomes following psychological treatment in the UK’s National Health Service Multiple Imputation vs. Machine Learning for Handling Missing Data in Prediction Modelling: Which Best Balances Stability, Performance, and Computational Efficiency? Estimating rates of dental treatment and unmet dental need in a spatially explicit model in children in England, 2016-2018 Statistical Approach to Assess the Impact of Hospital Settings on Optimal Staffing Levels Real-time predictions of bed occupancy in hospitals. Positive and negative predictive values of diagnostic tests using area under the curve Freely accessible software for recruitment prediction and recruitment monitoring: Is it necessary? On moderation in a Bayesian log-contrast compositional model with a total. Interaction between extreme temperatures and pollutants on mortality Graphical inference in nonparametric hypothesis testing: A two-dimensional grid framework for analysis and visualization On regression analysis of interval-valued data based on order statistics Two-sided Beyesian simultaneous credible bands in linear regression model Cell composition analysis with unmeasured confounding Temporal transcriptomic analysis of microexon alternative splicing in mouse neurodevelopmental genes A Robust Method for Accurate Reconstruction of 3D Genome Conformation from Hi-C Data Balancing Accuracy, Clinical Utility, and Explainability: A Machine Learning Approach to Prostate Cancer Prediction Development of a thyroid cancer recurrence prediction calculator: A regression approach A comparison of methods for modelling multi-state cancer progression using screening data with censoring after intervention ADHD and 10–Year Disease Progression from Initiating Pharmacotherapy for Hypertension to Death: A Multistate Modelling Analysis Understanding PSA Dynamics: Integrating Longitudinal Trajectories, Testing Patterns, and Disease Progression. Joint Modeling for Principal Stratification: Analyzing Stroke Events in CADASIL Patients Across NOTCH3 Variants Challenges in modelling neuropsychiatric symptoms in early Alzheimer's Disease Network models to decipher the Human exposome : application to food exposome patterns in the general population Study brain connectivity changes in Dementia with Lewy Bodies with Functional Conditional Gaussian Graphical Models LongiSurvSHAP: Explaining Survival Models with Longitudinal Features Prognostic Models for Recurrent Event Data Unlocking diagnosis code for longitudinal modeling through representations from large language models Machine Learning Perspectives in Survival Prediction Model Selection: Frequentist vs. Bayesian Approach Non-parametric methods for comparing survival functions with censored data: Exhaustive simulation of all possible beyond-observed censoring scenarios and computational analysis Tree-based methods for length-biased survival data Evaluating different pragmatic approaches for selecting the truncation time of the restricted mean survival time in randomized controlled trials Identifying risk factors for hospital readmission in home-based care: a study from a monographic paediatric cancer centre A web-application for predicting Serious Adverse Event for guiding the enrollment procedure in Clinical Trials with Machine Learning Methods Assessing the Overall Burden of Adverse Events in Clinical Trials: Approaches and Challenges |
| Date: Tuesday, 26/Aug/2025 | |
| 8:45am - 9:15am |
Poster Exhibition: T / Tuesday posters at ETH Location: ETH, UG hall Leveraging Wearable data for Probabilistic Imputation in Cardiovascular Risk Calculators. Stepwise Prediction of Tuberculosis Treatment Outcomes Using XGBoost and Feature-Level Analysis: A Multi-Stage Approach to Clinical Decision Support The use of variable selection in clinical prediction modelling for binary outcomes: a systematic review Comparison of Methods for Incorporating Related Data when Developing Clinical Prediction Models: A Simulation Study A Systematic Review of Methodological Research on Multi-State Prediction Models Assessing the robustness of prediction models: A case study on in-hospital mortality prediction using MIMIC-III and MIMIC-IV The Influence of Variable Selection Approaches on Prediction Model Stability in Low-Dimensional Data: From Traditional Stepwise Selection to Regularisation techniques Early-detection of high-risk patient profiles admitted to hospital with respiratory infections using a multistate model Investigating fair data acquisition for risk prediction in resource-constrained settings A critical benchmark of Bayesian shrinkage estimation for subgroup analysis Mathematical Modelling of Oxygenation Dynamics Using High-Resolution Perfusion Data: An Advanced Statistical Framework for Understanding Oxygen Metabolism Marginal structural Cox model with weighted cumulative exposure modelling for the estimation of counterfactual Population Attributable Fractions Lost in the Forest of Forest Plots? Practical Guidelines and an All-in-One Tool for Forest Plots Robust Outlier Detection with Skewness-Adjusted Fences: Theoretical Foundations and Applications Minimum Area Confidence Set Optimality for Simultaneous Confidence Bands for Percentiles in Linear Regression: An Application to Estimating Shelf Life One-sided simultaneous tolerance intervals based on kernel density estimates Robust large-scale multiple testing for hidden Markov random field model Model informed assurance approach for 3-way PK similarity studies Korea Sequence Read Archive (KRA) - A public repository for archiving raw sequence data Integrative analysis of transcriptomic and epigenomic dynamics of liver organoids using single cell RNA-seq and ATAC-seq Leveraging tumor imaging compositional data structure in model feature space for predicting recurrence in colorectal carcinoma BayesPIM: A Bayesian Prevalence-Incidence Mixture Model for Screening Outcomes, with an Application to Colorectal Cancer Joint Modelling of Random Heterogeneity in Longitudinal and Multiple time-to-Events in Colon Cancer Refining the Association between BMI, Waist Circumference, and Breast Cancer Risk in Postmenopausal Women using G-formula Method Building cancer risk prediction models by synthesizing national registry and prevention trial data Modelling Individual-level Uncertainty from Missing Data in Personalised Breast Cancer Risk Prediction Time-varying covariates in Survival Analysis: a graphical approach to assessing the risk of cardiovascular events and aortic valve sclerosis development Polygenic scores as tools for intervention selection in the setting of finasteride for prostate cancer prevention Implementation of a Disease Progression Model accounting for covariates Genetics influences LDL-C response to statin therapy: short- and long-term observational study with functional data analysis Longitudinal analysis of imprecise disease status using latent Markov models: application to Italian Thyroid Cancer Observatory data Long-term risk prediction from short-term data – a microsimulation approach Deep learning algorithm for dynamic survival prediction with competitive risks Identifying Cutoff in Predictors in Survival Analysis: An Ensemble Strategy for Flexible Knot Selection Estimating Quality Adjusted Life Years (QALYs) from a joint modeling framework: a simulation-based study An Alternative Estimand for Overall Survival in the Presence of Treatment Discontinuation: Simulation Results and Case Study Corrections of confidence interval for differences in restricted mean survival times in clinical trials with small sample sizes |
| 9:15am - 10:45am |
Poster Exhibition: T / Tuesday posters at ETH Location: ETH, UG hall Leveraging Wearable data for Probabilistic Imputation in Cardiovascular Risk Calculators. Stepwise Prediction of Tuberculosis Treatment Outcomes Using XGBoost and Feature-Level Analysis: A Multi-Stage Approach to Clinical Decision Support The use of variable selection in clinical prediction modelling for binary outcomes: a systematic review Comparison of Methods for Incorporating Related Data when Developing Clinical Prediction Models: A Simulation Study A Systematic Review of Methodological Research on Multi-State Prediction Models Assessing the robustness of prediction models: A case study on in-hospital mortality prediction using MIMIC-III and MIMIC-IV The Influence of Variable Selection Approaches on Prediction Model Stability in Low-Dimensional Data: From Traditional Stepwise Selection to Regularisation techniques Early-detection of high-risk patient profiles admitted to hospital with respiratory infections using a multistate model Investigating fair data acquisition for risk prediction in resource-constrained settings A critical benchmark of Bayesian shrinkage estimation for subgroup analysis Mathematical Modelling of Oxygenation Dynamics Using High-Resolution Perfusion Data: An Advanced Statistical Framework for Understanding Oxygen Metabolism Marginal structural Cox model with weighted cumulative exposure modelling for the estimation of counterfactual Population Attributable Fractions Lost in the Forest of Forest Plots? Practical Guidelines and an All-in-One Tool for Forest Plots Robust Outlier Detection with Skewness-Adjusted Fences: Theoretical Foundations and Applications Minimum Area Confidence Set Optimality for Simultaneous Confidence Bands for Percentiles in Linear Regression: An Application to Estimating Shelf Life One-sided simultaneous tolerance intervals based on kernel density estimates Robust large-scale multiple testing for hidden Markov random field model Model informed assurance approach for 3-way PK similarity studies Korea Sequence Read Archive (KRA) - A public repository for archiving raw sequence data Integrative analysis of transcriptomic and epigenomic dynamics of liver organoids using single cell RNA-seq and ATAC-seq Leveraging tumor imaging compositional data structure in model feature space for predicting recurrence in colorectal carcinoma BayesPIM: A Bayesian Prevalence-Incidence Mixture Model for Screening Outcomes, with an Application to Colorectal Cancer Joint Modelling of Random Heterogeneity in Longitudinal and Multiple time-to-Events in Colon Cancer Refining the Association between BMI, Waist Circumference, and Breast Cancer Risk in Postmenopausal Women using G-formula Method Building cancer risk prediction models by synthesizing national registry and prevention trial data Modelling Individual-level Uncertainty from Missing Data in Personalised Breast Cancer Risk Prediction Time-varying covariates in Survival Analysis: a graphical approach to assessing the risk of cardiovascular events and aortic valve sclerosis development Polygenic scores as tools for intervention selection in the setting of finasteride for prostate cancer prevention Implementation of a Disease Progression Model accounting for covariates Genetics influences LDL-C response to statin therapy: short- and long-term observational study with functional data analysis Longitudinal analysis of imprecise disease status using latent Markov models: application to Italian Thyroid Cancer Observatory data Long-term risk prediction from short-term data – a microsimulation approach Deep learning algorithm for dynamic survival prediction with competitive risks Identifying Cutoff in Predictors in Survival Analysis: An Ensemble Strategy for Flexible Knot Selection Estimating Quality Adjusted Life Years (QALYs) from a joint modeling framework: a simulation-based study An Alternative Estimand for Overall Survival in the Presence of Treatment Discontinuation: Simulation Results and Case Study Corrections of confidence interval for differences in restricted mean survival times in clinical trials with small sample sizes |
| 10:45am - 11:30am |
Poster Exhibition: T / Tuesday posters at ETH Location: ETH, UG hall Leveraging Wearable data for Probabilistic Imputation in Cardiovascular Risk Calculators. Stepwise Prediction of Tuberculosis Treatment Outcomes Using XGBoost and Feature-Level Analysis: A Multi-Stage Approach to Clinical Decision Support The use of variable selection in clinical prediction modelling for binary outcomes: a systematic review Comparison of Methods for Incorporating Related Data when Developing Clinical Prediction Models: A Simulation Study A Systematic Review of Methodological Research on Multi-State Prediction Models Assessing the robustness of prediction models: A case study on in-hospital mortality prediction using MIMIC-III and MIMIC-IV The Influence of Variable Selection Approaches on Prediction Model Stability in Low-Dimensional Data: From Traditional Stepwise Selection to Regularisation techniques Early-detection of high-risk patient profiles admitted to hospital with respiratory infections using a multistate model Investigating fair data acquisition for risk prediction in resource-constrained settings A critical benchmark of Bayesian shrinkage estimation for subgroup analysis Mathematical Modelling of Oxygenation Dynamics Using High-Resolution Perfusion Data: An Advanced Statistical Framework for Understanding Oxygen Metabolism Marginal structural Cox model with weighted cumulative exposure modelling for the estimation of counterfactual Population Attributable Fractions Lost in the Forest of Forest Plots? Practical Guidelines and an All-in-One Tool for Forest Plots Robust Outlier Detection with Skewness-Adjusted Fences: Theoretical Foundations and Applications Minimum Area Confidence Set Optimality for Simultaneous Confidence Bands for Percentiles in Linear Regression: An Application to Estimating Shelf Life One-sided simultaneous tolerance intervals based on kernel density estimates Robust large-scale multiple testing for hidden Markov random field model Model informed assurance approach for 3-way PK similarity studies Korea Sequence Read Archive (KRA) - A public repository for archiving raw sequence data Integrative analysis of transcriptomic and epigenomic dynamics of liver organoids using single cell RNA-seq and ATAC-seq Leveraging tumor imaging compositional data structure in model feature space for predicting recurrence in colorectal carcinoma BayesPIM: A Bayesian Prevalence-Incidence Mixture Model for Screening Outcomes, with an Application to Colorectal Cancer Joint Modelling of Random Heterogeneity in Longitudinal and Multiple time-to-Events in Colon Cancer Refining the Association between BMI, Waist Circumference, and Breast Cancer Risk in Postmenopausal Women using G-formula Method Building cancer risk prediction models by synthesizing national registry and prevention trial data Modelling Individual-level Uncertainty from Missing Data in Personalised Breast Cancer Risk Prediction Time-varying covariates in Survival Analysis: a graphical approach to assessing the risk of cardiovascular events and aortic valve sclerosis development Polygenic scores as tools for intervention selection in the setting of finasteride for prostate cancer prevention Implementation of a Disease Progression Model accounting for covariates Genetics influences LDL-C response to statin therapy: short- and long-term observational study with functional data analysis Longitudinal analysis of imprecise disease status using latent Markov models: application to Italian Thyroid Cancer Observatory data Long-term risk prediction from short-term data – a microsimulation approach Deep learning algorithm for dynamic survival prediction with competitive risks Identifying Cutoff in Predictors in Survival Analysis: An Ensemble Strategy for Flexible Knot Selection Estimating Quality Adjusted Life Years (QALYs) from a joint modeling framework: a simulation-based study An Alternative Estimand for Overall Survival in the Presence of Treatment Discontinuation: Simulation Results and Case Study Corrections of confidence interval for differences in restricted mean survival times in clinical trials with small sample sizes |
| 11:30am - 1:00pm |
Poster Exhibition: T / Tuesday posters at ETH Location: ETH, UG hall Leveraging Wearable data for Probabilistic Imputation in Cardiovascular Risk Calculators. Stepwise Prediction of Tuberculosis Treatment Outcomes Using XGBoost and Feature-Level Analysis: A Multi-Stage Approach to Clinical Decision Support The use of variable selection in clinical prediction modelling for binary outcomes: a systematic review Comparison of Methods for Incorporating Related Data when Developing Clinical Prediction Models: A Simulation Study A Systematic Review of Methodological Research on Multi-State Prediction Models Assessing the robustness of prediction models: A case study on in-hospital mortality prediction using MIMIC-III and MIMIC-IV The Influence of Variable Selection Approaches on Prediction Model Stability in Low-Dimensional Data: From Traditional Stepwise Selection to Regularisation techniques Early-detection of high-risk patient profiles admitted to hospital with respiratory infections using a multistate model Investigating fair data acquisition for risk prediction in resource-constrained settings A critical benchmark of Bayesian shrinkage estimation for subgroup analysis Mathematical Modelling of Oxygenation Dynamics Using High-Resolution Perfusion Data: An Advanced Statistical Framework for Understanding Oxygen Metabolism Marginal structural Cox model with weighted cumulative exposure modelling for the estimation of counterfactual Population Attributable Fractions Lost in the Forest of Forest Plots? Practical Guidelines and an All-in-One Tool for Forest Plots Robust Outlier Detection with Skewness-Adjusted Fences: Theoretical Foundations and Applications Minimum Area Confidence Set Optimality for Simultaneous Confidence Bands for Percentiles in Linear Regression: An Application to Estimating Shelf Life One-sided simultaneous tolerance intervals based on kernel density estimates Robust large-scale multiple testing for hidden Markov random field model Model informed assurance approach for 3-way PK similarity studies Korea Sequence Read Archive (KRA) - A public repository for archiving raw sequence data Integrative analysis of transcriptomic and epigenomic dynamics of liver organoids using single cell RNA-seq and ATAC-seq Leveraging tumor imaging compositional data structure in model feature space for predicting recurrence in colorectal carcinoma BayesPIM: A Bayesian Prevalence-Incidence Mixture Model for Screening Outcomes, with an Application to Colorectal Cancer Joint Modelling of Random Heterogeneity in Longitudinal and Multiple time-to-Events in Colon Cancer Refining the Association between BMI, Waist Circumference, and Breast Cancer Risk in Postmenopausal Women using G-formula Method Building cancer risk prediction models by synthesizing national registry and prevention trial data Modelling Individual-level Uncertainty from Missing Data in Personalised Breast Cancer Risk Prediction Time-varying covariates in Survival Analysis: a graphical approach to assessing the risk of cardiovascular events and aortic valve sclerosis development Polygenic scores as tools for intervention selection in the setting of finasteride for prostate cancer prevention Implementation of a Disease Progression Model accounting for covariates Genetics influences LDL-C response to statin therapy: short- and long-term observational study with functional data analysis Longitudinal analysis of imprecise disease status using latent Markov models: application to Italian Thyroid Cancer Observatory data Long-term risk prediction from short-term data – a microsimulation approach Deep learning algorithm for dynamic survival prediction with competitive risks Identifying Cutoff in Predictors in Survival Analysis: An Ensemble Strategy for Flexible Knot Selection Estimating Quality Adjusted Life Years (QALYs) from a joint modeling framework: a simulation-based study An Alternative Estimand for Overall Survival in the Presence of Treatment Discontinuation: Simulation Results and Case Study Corrections of confidence interval for differences in restricted mean survival times in clinical trials with small sample sizes |
| 1:00pm - 2:00pm |
Poster Exhibition: T / Tuesday posters at ETH Location: ETH, UG hall Leveraging Wearable data for Probabilistic Imputation in Cardiovascular Risk Calculators. Stepwise Prediction of Tuberculosis Treatment Outcomes Using XGBoost and Feature-Level Analysis: A Multi-Stage Approach to Clinical Decision Support The use of variable selection in clinical prediction modelling for binary outcomes: a systematic review Comparison of Methods for Incorporating Related Data when Developing Clinical Prediction Models: A Simulation Study A Systematic Review of Methodological Research on Multi-State Prediction Models Assessing the robustness of prediction models: A case study on in-hospital mortality prediction using MIMIC-III and MIMIC-IV The Influence of Variable Selection Approaches on Prediction Model Stability in Low-Dimensional Data: From Traditional Stepwise Selection to Regularisation techniques Early-detection of high-risk patient profiles admitted to hospital with respiratory infections using a multistate model Investigating fair data acquisition for risk prediction in resource-constrained settings A critical benchmark of Bayesian shrinkage estimation for subgroup analysis Mathematical Modelling of Oxygenation Dynamics Using High-Resolution Perfusion Data: An Advanced Statistical Framework for Understanding Oxygen Metabolism Marginal structural Cox model with weighted cumulative exposure modelling for the estimation of counterfactual Population Attributable Fractions Lost in the Forest of Forest Plots? Practical Guidelines and an All-in-One Tool for Forest Plots Robust Outlier Detection with Skewness-Adjusted Fences: Theoretical Foundations and Applications Minimum Area Confidence Set Optimality for Simultaneous Confidence Bands for Percentiles in Linear Regression: An Application to Estimating Shelf Life One-sided simultaneous tolerance intervals based on kernel density estimates Robust large-scale multiple testing for hidden Markov random field model Model informed assurance approach for 3-way PK similarity studies Korea Sequence Read Archive (KRA) - A public repository for archiving raw sequence data Integrative analysis of transcriptomic and epigenomic dynamics of liver organoids using single cell RNA-seq and ATAC-seq Leveraging tumor imaging compositional data structure in model feature space for predicting recurrence in colorectal carcinoma BayesPIM: A Bayesian Prevalence-Incidence Mixture Model for Screening Outcomes, with an Application to Colorectal Cancer Joint Modelling of Random Heterogeneity in Longitudinal and Multiple time-to-Events in Colon Cancer Refining the Association between BMI, Waist Circumference, and Breast Cancer Risk in Postmenopausal Women using G-formula Method Building cancer risk prediction models by synthesizing national registry and prevention trial data Modelling Individual-level Uncertainty from Missing Data in Personalised Breast Cancer Risk Prediction Time-varying covariates in Survival Analysis: a graphical approach to assessing the risk of cardiovascular events and aortic valve sclerosis development Polygenic scores as tools for intervention selection in the setting of finasteride for prostate cancer prevention Implementation of a Disease Progression Model accounting for covariates Genetics influences LDL-C response to statin therapy: short- and long-term observational study with functional data analysis Longitudinal analysis of imprecise disease status using latent Markov models: application to Italian Thyroid Cancer Observatory data Long-term risk prediction from short-term data – a microsimulation approach Deep learning algorithm for dynamic survival prediction with competitive risks Identifying Cutoff in Predictors in Survival Analysis: An Ensemble Strategy for Flexible Knot Selection Estimating Quality Adjusted Life Years (QALYs) from a joint modeling framework: a simulation-based study An Alternative Estimand for Overall Survival in the Presence of Treatment Discontinuation: Simulation Results and Case Study Corrections of confidence interval for differences in restricted mean survival times in clinical trials with small sample sizes |
| Date: Wednesday, 27/Aug/2025 | |
| 9:00am - 10:30am |
Poster Exhibition: W / Wednesday posters at ETH Location: ETH, UG hall Exploring the Exposome correlated with Body Mass Index in Adolescents: Findings from the 2014-2015 and 2022-2023 KNHANES Flexible statistical modeling of undernutrition among under-five children in India Comparison of deep learning models with different architectures and training populations for ECG age estimation: Accuracy, agreement, and CVD prediction Systematic review and real life-oriented evaluation on methods for feature selection in longitudinal biomedical data How does acute exposure to environmental factors relate to stroke characteristics such as stroke type, severity, and impairments? Improving TBI Prognosis in developing world: A Machine Learning-based AutoScore Approach to Predict Six-Month Functional Outcome Predictive Risk Index for Poor Cognitive Development Among Children Using Machine Learning Approaches Development and validation of a model to predict ceiling of care in COVID-19 hospitalised patients Transformer Models for Clinical Prediction – Investigation of BEHRT in UK Biobank and prediction assessment under different scenarios What is the best way to analyse ventilator-free days? Compare Estimation and Classification Performances of Statistical Shrinkage Methods Ridge Regression, Lasso Regression, and Elastic Net Regression Defining Harm in Settings with Outcomes that are Not Binary Brier pseudo-observation score for selecting a multiplicative, an additive or an additive-multiplicative hazards regression model Bayesian spatio-temporal analysis of the COVID-19 pandemic in Catalonia A Simulation Study of Bayesian Approaches to Spatial Modelling Using the Besag-York-Mollie Model A Bayesian analysis of FINEARTS-HF Fast Approximation of Joint Models: A Comparative Evaluation of Bayesian Methods Confidence Intervals for Comparing Two Independent Folded Normals Towards Realistic Synthetic Nanopore Protein Signals: A Comparative Study of Stochastic and GAN-Based Methods Data Transformations in Machine Learning Approaches for Studying Microbiota as a Biomarker of Non-Response Risk to CFTR Modulators On microbiome data analysis using Bayesian method under the assumption of a zero-inflated model Estimating prevalence of cystic fibrosis heterozygosity using Fast Boltzmann Inversion (FBI): An improved Monte Carlo algorithm for Bayesian inference A Sparse Graph Representation of Hi-C Data for Colorectal Cancer Prediction A multi-state survival model for recurring adenomas in Lynch syndrome individuals Evaluating Completeness of Data in CPRD’s Breast Cancer Data: Implications for External Controls for Surrogate Endpoints Identification of risk factors for the development of de novo malignancies after liver transplantation Are ACE inhibitors associated with increased lung cancer risk, or are unmeasured confounders biasing results? DO GENETIC CHANGES IN 15Q13.3 MEAN LOWER IQ SCORE? Measuring the performance of survival models to personalize treatment choices A framework for estimating quality adjusted life years using joint models of longitudinal and survival data Cut Off Determination using Model Derived Estimate in Survival Prediction Model A two-step testing approach for comparing time-to-event data under non-proportional hazards A systematic review of Bayesian survival modelling for extrapolating survival in cost-effectiveness analysis Power comparison of hazard ratio versus restricted mean survival time in the presence of cure Sample Size Calculation in Prognostic Studies: A Comparative Analysis Prognostic Score Adjustment in a Two-Slope Mixed Effects Model to Estimate Treatment Effects on eGFR Slope in CKD Patients Comparative effectiveness of ACE inhibitors and angiotensin receptor blockers to prevent or delay dementia: a target trial emulation Optimal utility-based design of phase II/phase III programmes with different type of endpoints in the setting of multiple myeloma Beyond first events: Advancing recurrent adverse event estimates in clinical research. |
| 10:30am - 11:00am |
Poster Exhibition: W / Wednesday posters at ETH Location: ETH, UG hall Exploring the Exposome correlated with Body Mass Index in Adolescents: Findings from the 2014-2015 and 2022-2023 KNHANES Flexible statistical modeling of undernutrition among under-five children in India Comparison of deep learning models with different architectures and training populations for ECG age estimation: Accuracy, agreement, and CVD prediction Systematic review and real life-oriented evaluation on methods for feature selection in longitudinal biomedical data How does acute exposure to environmental factors relate to stroke characteristics such as stroke type, severity, and impairments? Improving TBI Prognosis in developing world: A Machine Learning-based AutoScore Approach to Predict Six-Month Functional Outcome Predictive Risk Index for Poor Cognitive Development Among Children Using Machine Learning Approaches Development and validation of a model to predict ceiling of care in COVID-19 hospitalised patients Transformer Models for Clinical Prediction – Investigation of BEHRT in UK Biobank and prediction assessment under different scenarios What is the best way to analyse ventilator-free days? Compare Estimation and Classification Performances of Statistical Shrinkage Methods Ridge Regression, Lasso Regression, and Elastic Net Regression Defining Harm in Settings with Outcomes that are Not Binary Brier pseudo-observation score for selecting a multiplicative, an additive or an additive-multiplicative hazards regression model Bayesian spatio-temporal analysis of the COVID-19 pandemic in Catalonia A Simulation Study of Bayesian Approaches to Spatial Modelling Using the Besag-York-Mollie Model A Bayesian analysis of FINEARTS-HF Fast Approximation of Joint Models: A Comparative Evaluation of Bayesian Methods Confidence Intervals for Comparing Two Independent Folded Normals Towards Realistic Synthetic Nanopore Protein Signals: A Comparative Study of Stochastic and GAN-Based Methods Data Transformations in Machine Learning Approaches for Studying Microbiota as a Biomarker of Non-Response Risk to CFTR Modulators On microbiome data analysis using Bayesian method under the assumption of a zero-inflated model Estimating prevalence of cystic fibrosis heterozygosity using Fast Boltzmann Inversion (FBI): An improved Monte Carlo algorithm for Bayesian inference A Sparse Graph Representation of Hi-C Data for Colorectal Cancer Prediction A multi-state survival model for recurring adenomas in Lynch syndrome individuals Evaluating Completeness of Data in CPRD’s Breast Cancer Data: Implications for External Controls for Surrogate Endpoints Identification of risk factors for the development of de novo malignancies after liver transplantation Are ACE inhibitors associated with increased lung cancer risk, or are unmeasured confounders biasing results? DO GENETIC CHANGES IN 15Q13.3 MEAN LOWER IQ SCORE? Measuring the performance of survival models to personalize treatment choices A framework for estimating quality adjusted life years using joint models of longitudinal and survival data Cut Off Determination using Model Derived Estimate in Survival Prediction Model A two-step testing approach for comparing time-to-event data under non-proportional hazards A systematic review of Bayesian survival modelling for extrapolating survival in cost-effectiveness analysis Power comparison of hazard ratio versus restricted mean survival time in the presence of cure Sample Size Calculation in Prognostic Studies: A Comparative Analysis Prognostic Score Adjustment in a Two-Slope Mixed Effects Model to Estimate Treatment Effects on eGFR Slope in CKD Patients Comparative effectiveness of ACE inhibitors and angiotensin receptor blockers to prevent or delay dementia: a target trial emulation Optimal utility-based design of phase II/phase III programmes with different type of endpoints in the setting of multiple myeloma Beyond first events: Advancing recurrent adverse event estimates in clinical research. |
| 12:15pm - 1:30pm |
Poster Exhibition: W / Wednesday posters at ETH Location: ETH, UG hall Exploring the Exposome correlated with Body Mass Index in Adolescents: Findings from the 2014-2015 and 2022-2023 KNHANES Flexible statistical modeling of undernutrition among under-five children in India Comparison of deep learning models with different architectures and training populations for ECG age estimation: Accuracy, agreement, and CVD prediction Systematic review and real life-oriented evaluation on methods for feature selection in longitudinal biomedical data How does acute exposure to environmental factors relate to stroke characteristics such as stroke type, severity, and impairments? Improving TBI Prognosis in developing world: A Machine Learning-based AutoScore Approach to Predict Six-Month Functional Outcome Predictive Risk Index for Poor Cognitive Development Among Children Using Machine Learning Approaches Development and validation of a model to predict ceiling of care in COVID-19 hospitalised patients Transformer Models for Clinical Prediction – Investigation of BEHRT in UK Biobank and prediction assessment under different scenarios What is the best way to analyse ventilator-free days? Compare Estimation and Classification Performances of Statistical Shrinkage Methods Ridge Regression, Lasso Regression, and Elastic Net Regression Defining Harm in Settings with Outcomes that are Not Binary Brier pseudo-observation score for selecting a multiplicative, an additive or an additive-multiplicative hazards regression model Bayesian spatio-temporal analysis of the COVID-19 pandemic in Catalonia A Simulation Study of Bayesian Approaches to Spatial Modelling Using the Besag-York-Mollie Model A Bayesian analysis of FINEARTS-HF Fast Approximation of Joint Models: A Comparative Evaluation of Bayesian Methods Confidence Intervals for Comparing Two Independent Folded Normals Towards Realistic Synthetic Nanopore Protein Signals: A Comparative Study of Stochastic and GAN-Based Methods Data Transformations in Machine Learning Approaches for Studying Microbiota as a Biomarker of Non-Response Risk to CFTR Modulators On microbiome data analysis using Bayesian method under the assumption of a zero-inflated model Estimating prevalence of cystic fibrosis heterozygosity using Fast Boltzmann Inversion (FBI): An improved Monte Carlo algorithm for Bayesian inference A Sparse Graph Representation of Hi-C Data for Colorectal Cancer Prediction A multi-state survival model for recurring adenomas in Lynch syndrome individuals Evaluating Completeness of Data in CPRD’s Breast Cancer Data: Implications for External Controls for Surrogate Endpoints Identification of risk factors for the development of de novo malignancies after liver transplantation Are ACE inhibitors associated with increased lung cancer risk, or are unmeasured confounders biasing results? DO GENETIC CHANGES IN 15Q13.3 MEAN LOWER IQ SCORE? Measuring the performance of survival models to personalize treatment choices A framework for estimating quality adjusted life years using joint models of longitudinal and survival data Cut Off Determination using Model Derived Estimate in Survival Prediction Model A two-step testing approach for comparing time-to-event data under non-proportional hazards A systematic review of Bayesian survival modelling for extrapolating survival in cost-effectiveness analysis Power comparison of hazard ratio versus restricted mean survival time in the presence of cure Sample Size Calculation in Prognostic Studies: A Comparative Analysis Prognostic Score Adjustment in a Two-Slope Mixed Effects Model to Estimate Treatment Effects on eGFR Slope in CKD Patients Comparative effectiveness of ACE inhibitors and angiotensin receptor blockers to prevent or delay dementia: a target trial emulation Optimal utility-based design of phase II/phase III programmes with different type of endpoints in the setting of multiple myeloma Beyond first events: Advancing recurrent adverse event estimates in clinical research. |
| 1:00pm - 2:00pm |
Poster Exhibition: W / Wednesday posters at ETH Location: ETH, UG hall Exploring the Exposome correlated with Body Mass Index in Adolescents: Findings from the 2014-2015 and 2022-2023 KNHANES Flexible statistical modeling of undernutrition among under-five children in India Comparison of deep learning models with different architectures and training populations for ECG age estimation: Accuracy, agreement, and CVD prediction Systematic review and real life-oriented evaluation on methods for feature selection in longitudinal biomedical data How does acute exposure to environmental factors relate to stroke characteristics such as stroke type, severity, and impairments? Improving TBI Prognosis in developing world: A Machine Learning-based AutoScore Approach to Predict Six-Month Functional Outcome Predictive Risk Index for Poor Cognitive Development Among Children Using Machine Learning Approaches Development and validation of a model to predict ceiling of care in COVID-19 hospitalised patients Transformer Models for Clinical Prediction – Investigation of BEHRT in UK Biobank and prediction assessment under different scenarios What is the best way to analyse ventilator-free days? Compare Estimation and Classification Performances of Statistical Shrinkage Methods Ridge Regression, Lasso Regression, and Elastic Net Regression Defining Harm in Settings with Outcomes that are Not Binary Brier pseudo-observation score for selecting a multiplicative, an additive or an additive-multiplicative hazards regression model Bayesian spatio-temporal analysis of the COVID-19 pandemic in Catalonia A Simulation Study of Bayesian Approaches to Spatial Modelling Using the Besag-York-Mollie Model A Bayesian analysis of FINEARTS-HF Fast Approximation of Joint Models: A Comparative Evaluation of Bayesian Methods Confidence Intervals for Comparing Two Independent Folded Normals Towards Realistic Synthetic Nanopore Protein Signals: A Comparative Study of Stochastic and GAN-Based Methods Data Transformations in Machine Learning Approaches for Studying Microbiota as a Biomarker of Non-Response Risk to CFTR Modulators On microbiome data analysis using Bayesian method under the assumption of a zero-inflated model Estimating prevalence of cystic fibrosis heterozygosity using Fast Boltzmann Inversion (FBI): An improved Monte Carlo algorithm for Bayesian inference A Sparse Graph Representation of Hi-C Data for Colorectal Cancer Prediction A multi-state survival model for recurring adenomas in Lynch syndrome individuals Evaluating Completeness of Data in CPRD’s Breast Cancer Data: Implications for External Controls for Surrogate Endpoints Identification of risk factors for the development of de novo malignancies after liver transplantation Are ACE inhibitors associated with increased lung cancer risk, or are unmeasured confounders biasing results? DO GENETIC CHANGES IN 15Q13.3 MEAN LOWER IQ SCORE? Measuring the performance of survival models to personalize treatment choices A framework for estimating quality adjusted life years using joint models of longitudinal and survival data Cut Off Determination using Model Derived Estimate in Survival Prediction Model A two-step testing approach for comparing time-to-event data under non-proportional hazards A systematic review of Bayesian survival modelling for extrapolating survival in cost-effectiveness analysis Power comparison of hazard ratio versus restricted mean survival time in the presence of cure Sample Size Calculation in Prognostic Studies: A Comparative Analysis Prognostic Score Adjustment in a Two-Slope Mixed Effects Model to Estimate Treatment Effects on eGFR Slope in CKD Patients Comparative effectiveness of ACE inhibitors and angiotensin receptor blockers to prevent or delay dementia: a target trial emulation Optimal utility-based design of phase II/phase III programmes with different type of endpoints in the setting of multiple myeloma Beyond first events: Advancing recurrent adverse event estimates in clinical research. |
| 2:00pm - 3:30pm |
Poster Exhibition: W / Wednesday posters at ETH Location: ETH, UG hall Exploring the Exposome correlated with Body Mass Index in Adolescents: Findings from the 2014-2015 and 2022-2023 KNHANES Flexible statistical modeling of undernutrition among under-five children in India Comparison of deep learning models with different architectures and training populations for ECG age estimation: Accuracy, agreement, and CVD prediction Systematic review and real life-oriented evaluation on methods for feature selection in longitudinal biomedical data How does acute exposure to environmental factors relate to stroke characteristics such as stroke type, severity, and impairments? Improving TBI Prognosis in developing world: A Machine Learning-based AutoScore Approach to Predict Six-Month Functional Outcome Predictive Risk Index for Poor Cognitive Development Among Children Using Machine Learning Approaches Development and validation of a model to predict ceiling of care in COVID-19 hospitalised patients Transformer Models for Clinical Prediction – Investigation of BEHRT in UK Biobank and prediction assessment under different scenarios What is the best way to analyse ventilator-free days? Compare Estimation and Classification Performances of Statistical Shrinkage Methods Ridge Regression, Lasso Regression, and Elastic Net Regression Defining Harm in Settings with Outcomes that are Not Binary Brier pseudo-observation score for selecting a multiplicative, an additive or an additive-multiplicative hazards regression model Bayesian spatio-temporal analysis of the COVID-19 pandemic in Catalonia A Simulation Study of Bayesian Approaches to Spatial Modelling Using the Besag-York-Mollie Model A Bayesian analysis of FINEARTS-HF Fast Approximation of Joint Models: A Comparative Evaluation of Bayesian Methods Confidence Intervals for Comparing Two Independent Folded Normals Towards Realistic Synthetic Nanopore Protein Signals: A Comparative Study of Stochastic and GAN-Based Methods Data Transformations in Machine Learning Approaches for Studying Microbiota as a Biomarker of Non-Response Risk to CFTR Modulators On microbiome data analysis using Bayesian method under the assumption of a zero-inflated model Estimating prevalence of cystic fibrosis heterozygosity using Fast Boltzmann Inversion (FBI): An improved Monte Carlo algorithm for Bayesian inference A Sparse Graph Representation of Hi-C Data for Colorectal Cancer Prediction A multi-state survival model for recurring adenomas in Lynch syndrome individuals Evaluating Completeness of Data in CPRD’s Breast Cancer Data: Implications for External Controls for Surrogate Endpoints Identification of risk factors for the development of de novo malignancies after liver transplantation Are ACE inhibitors associated with increased lung cancer risk, or are unmeasured confounders biasing results? DO GENETIC CHANGES IN 15Q13.3 MEAN LOWER IQ SCORE? Measuring the performance of survival models to personalize treatment choices A framework for estimating quality adjusted life years using joint models of longitudinal and survival data Cut Off Determination using Model Derived Estimate in Survival Prediction Model A two-step testing approach for comparing time-to-event data under non-proportional hazards A systematic review of Bayesian survival modelling for extrapolating survival in cost-effectiveness analysis Power comparison of hazard ratio versus restricted mean survival time in the presence of cure Sample Size Calculation in Prognostic Studies: A Comparative Analysis Prognostic Score Adjustment in a Two-Slope Mixed Effects Model to Estimate Treatment Effects on eGFR Slope in CKD Patients Comparative effectiveness of ACE inhibitors and angiotensin receptor blockers to prevent or delay dementia: a target trial emulation Optimal utility-based design of phase II/phase III programmes with different type of endpoints in the setting of multiple myeloma Beyond first events: Advancing recurrent adverse event estimates in clinical research. |
| 3:30pm - 4:00pm |
Poster Exhibition: W / Wednesday posters at ETH Location: ETH, UG hall Exploring the Exposome correlated with Body Mass Index in Adolescents: Findings from the 2014-2015 and 2022-2023 KNHANES Flexible statistical modeling of undernutrition among under-five children in India Comparison of deep learning models with different architectures and training populations for ECG age estimation: Accuracy, agreement, and CVD prediction Systematic review and real life-oriented evaluation on methods for feature selection in longitudinal biomedical data How does acute exposure to environmental factors relate to stroke characteristics such as stroke type, severity, and impairments? Improving TBI Prognosis in developing world: A Machine Learning-based AutoScore Approach to Predict Six-Month Functional Outcome Predictive Risk Index for Poor Cognitive Development Among Children Using Machine Learning Approaches Development and validation of a model to predict ceiling of care in COVID-19 hospitalised patients Transformer Models for Clinical Prediction – Investigation of BEHRT in UK Biobank and prediction assessment under different scenarios What is the best way to analyse ventilator-free days? Compare Estimation and Classification Performances of Statistical Shrinkage Methods Ridge Regression, Lasso Regression, and Elastic Net Regression Defining Harm in Settings with Outcomes that are Not Binary Brier pseudo-observation score for selecting a multiplicative, an additive or an additive-multiplicative hazards regression model Bayesian spatio-temporal analysis of the COVID-19 pandemic in Catalonia A Simulation Study of Bayesian Approaches to Spatial Modelling Using the Besag-York-Mollie Model A Bayesian analysis of FINEARTS-HF Fast Approximation of Joint Models: A Comparative Evaluation of Bayesian Methods Confidence Intervals for Comparing Two Independent Folded Normals Towards Realistic Synthetic Nanopore Protein Signals: A Comparative Study of Stochastic and GAN-Based Methods Data Transformations in Machine Learning Approaches for Studying Microbiota as a Biomarker of Non-Response Risk to CFTR Modulators On microbiome data analysis using Bayesian method under the assumption of a zero-inflated model Estimating prevalence of cystic fibrosis heterozygosity using Fast Boltzmann Inversion (FBI): An improved Monte Carlo algorithm for Bayesian inference A Sparse Graph Representation of Hi-C Data for Colorectal Cancer Prediction A multi-state survival model for recurring adenomas in Lynch syndrome individuals Evaluating Completeness of Data in CPRD’s Breast Cancer Data: Implications for External Controls for Surrogate Endpoints Identification of risk factors for the development of de novo malignancies after liver transplantation Are ACE inhibitors associated with increased lung cancer risk, or are unmeasured confounders biasing results? DO GENETIC CHANGES IN 15Q13.3 MEAN LOWER IQ SCORE? Measuring the performance of survival models to personalize treatment choices A framework for estimating quality adjusted life years using joint models of longitudinal and survival data Cut Off Determination using Model Derived Estimate in Survival Prediction Model A two-step testing approach for comparing time-to-event data under non-proportional hazards A systematic review of Bayesian survival modelling for extrapolating survival in cost-effectiveness analysis Power comparison of hazard ratio versus restricted mean survival time in the presence of cure Sample Size Calculation in Prognostic Studies: A Comparative Analysis Prognostic Score Adjustment in a Two-Slope Mixed Effects Model to Estimate Treatment Effects on eGFR Slope in CKD Patients Comparative effectiveness of ACE inhibitors and angiotensin receptor blockers to prevent or delay dementia: a target trial emulation Optimal utility-based design of phase II/phase III programmes with different type of endpoints in the setting of multiple myeloma Beyond first events: Advancing recurrent adverse event estimates in clinical research. |
| 4:00pm - 5:30pm |
Poster Exhibition: W / Wednesday posters at ETH Location: ETH, UG hall Exploring the Exposome correlated with Body Mass Index in Adolescents: Findings from the 2014-2015 and 2022-2023 KNHANES Flexible statistical modeling of undernutrition among under-five children in India Comparison of deep learning models with different architectures and training populations for ECG age estimation: Accuracy, agreement, and CVD prediction Systematic review and real life-oriented evaluation on methods for feature selection in longitudinal biomedical data How does acute exposure to environmental factors relate to stroke characteristics such as stroke type, severity, and impairments? Improving TBI Prognosis in developing world: A Machine Learning-based AutoScore Approach to Predict Six-Month Functional Outcome Predictive Risk Index for Poor Cognitive Development Among Children Using Machine Learning Approaches Development and validation of a model to predict ceiling of care in COVID-19 hospitalised patients Transformer Models for Clinical Prediction – Investigation of BEHRT in UK Biobank and prediction assessment under different scenarios What is the best way to analyse ventilator-free days? Compare Estimation and Classification Performances of Statistical Shrinkage Methods Ridge Regression, Lasso Regression, and Elastic Net Regression Defining Harm in Settings with Outcomes that are Not Binary Brier pseudo-observation score for selecting a multiplicative, an additive or an additive-multiplicative hazards regression model Bayesian spatio-temporal analysis of the COVID-19 pandemic in Catalonia A Simulation Study of Bayesian Approaches to Spatial Modelling Using the Besag-York-Mollie Model A Bayesian analysis of FINEARTS-HF Fast Approximation of Joint Models: A Comparative Evaluation of Bayesian Methods Confidence Intervals for Comparing Two Independent Folded Normals Towards Realistic Synthetic Nanopore Protein Signals: A Comparative Study of Stochastic and GAN-Based Methods Data Transformations in Machine Learning Approaches for Studying Microbiota as a Biomarker of Non-Response Risk to CFTR Modulators On microbiome data analysis using Bayesian method under the assumption of a zero-inflated model Estimating prevalence of cystic fibrosis heterozygosity using Fast Boltzmann Inversion (FBI): An improved Monte Carlo algorithm for Bayesian inference A Sparse Graph Representation of Hi-C Data for Colorectal Cancer Prediction A multi-state survival model for recurring adenomas in Lynch syndrome individuals Evaluating Completeness of Data in CPRD’s Breast Cancer Data: Implications for External Controls for Surrogate Endpoints Identification of risk factors for the development of de novo malignancies after liver transplantation Are ACE inhibitors associated with increased lung cancer risk, or are unmeasured confounders biasing results? DO GENETIC CHANGES IN 15Q13.3 MEAN LOWER IQ SCORE? Measuring the performance of survival models to personalize treatment choices A framework for estimating quality adjusted life years using joint models of longitudinal and survival data Cut Off Determination using Model Derived Estimate in Survival Prediction Model A two-step testing approach for comparing time-to-event data under non-proportional hazards A systematic review of Bayesian survival modelling for extrapolating survival in cost-effectiveness analysis Power comparison of hazard ratio versus restricted mean survival time in the presence of cure Sample Size Calculation in Prognostic Studies: A Comparative Analysis Prognostic Score Adjustment in a Two-Slope Mixed Effects Model to Estimate Treatment Effects on eGFR Slope in CKD Patients Comparative effectiveness of ACE inhibitors and angiotensin receptor blockers to prevent or delay dementia: a target trial emulation Optimal utility-based design of phase II/phase III programmes with different type of endpoints in the setting of multiple myeloma Beyond first events: Advancing recurrent adverse event estimates in clinical research. |