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 |
Date: Tuesday, 26/Aug/2025 | ||||
8:45am - 9:15am |
Poster Exhibition: T / Tuesday posters Location: Poster Location 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 Advantages and pitfalls of a multi-centre register collecting long-term real-world data on medical devices: Insights from a cochlear implant registry Development and validation of prognostic models in phase I oncology clinical trials Application of Bayesian surrogacy models to select primary endpoint in phase 2 based on relationship to a phase 3 endpoint Discontinuation and attrition rates in phase II or phase III first-line randomized clinical trials (RCTs) of solid tumors Enhancing Dose Selection in Phase I Cancer Trials: Extending the Bayesian Logistic Regression Model with Non-DLT Adverse Events Integration Bayesian Inference of the Parametric Piecewise Accelerated Failure Time Models for Immune-oncology Clinical Trials Bayesian power-based sample size determination for single-arm clinical trials with time-to-event endpoints Calibration of dose-agnostic priors for Bayesian dose-finding trial designs with multiple outcomes Estimands in platform trials with time - treatment interactions A Graphical Approach to Subpopulation Testing in Biomarker-Driven Clinical Trial Design Optimizing Biomarker-Based Enrichment strategies in clinical trials Leveraging Synthetic Data for Enhanced Clinical Research Outcomes Graph-Based Integration of Heterogeneous Biological Data for Precision Medicine: A Comparative Analysis of Neo4j and MySQL Revolutionizing Clinical Data Management: A Strategic Roadmap for Integrating AI/ML into CDM Strategies to scale up model selection for analysis of proteomic datasets using multiple linear mixed-effect models Cost-utility analysis of sodium-glucose cotransporter-2 inhibitors on chronic kidney disease progression in diabetes patients: a real-world data in Thailand Comparing the Safety and Effectiveness of Covid-19 Vaccines administered in England using OpenSAFELY: A Common Analytic Protocol Statistical requirements in medical diagnostic development across the UK, US, and EU markets: A review of regulation, guidelines and standards. Calf muscle development in NICU graduates compared with typically developing babies: an analysis of growth trajectories using linear mixed models Automating Report Generation with Stata: A Case Study of NORUSE Maternal Mortality Rate in Sudan 2020: Causes of Death, Obstetric Characteristics and Territorial Disparity, Using Statistical Analysis. Community-Based Health Screening Attendance and All-Cause Mortality in Rural South Africa: A Causal Analysis Reducing Uncertainty in Fertility Meta-Analysis: A Multivariate Approach to Clinical Pregnancy and Live Birth Outcomes Causal discovery for multi-cohort studies Extension of Causal Interaction Estimation Techniques through Integration of Machine Learning Algorithms Embrace Variety, Find Balance: Integrating Clinical Trial and External Data Using Causal Inference Methods Revisiting subgroup analysis: A reflection on health disparities using conditional independence Comparison of Multiple Imputation Approaches for Skewed Outcomes in Randomised Trials: a Simulation Study Assessing the effect of drug adherence on longitudinal clinical outcomes: A comparison of Instrumental Variable and Inverse Probability Weighting methods. Compliance between different anthropometric indexes reflecting nutritional status in women with polycystic ovary syndrome Effectiveness of different macronutrient composition diets on weight loss and blood pressure. A network meta-analysis Going from methodological research to methods guidance: the STandards for the development REseArch Methods guidance (STREAM) initiative Effectiveness of a Skill Check Sheet for Registered Dietitians: A Cluster Randomized Controlled Trial Protocol Bootstrap-based approaches for inference on the total deviation index in agreement studies with replicates Baseline treatment group adjustment in the BEST study, a longitudinal randomised controlled trial. The Subtle Yet Impactful Choices in Procedure to conduct Matching-Adjusted Indirect Comparison - Insights from Simulation Utility-based design: an improved approach to jointly analyze efficacy and safety in randomized comparative trials Hierarchical Composite Endpoints and win ratio methods in cardiovascular trials: a systematic review and consequent guidance Power calculation using the win-ratio for composite outcomes in randomized trials Feasibility of propensity score weighted analysis in rare disease trials: a simulation study A basket trial for rare diseases, with a crossover design for its substudies: a simulation study Comparing randomized trial designs in rare diseases with longitudinal models: a simulation study showcased by Autosomal Recessive Cerebellar Ataxias Sequential decision making in basket trials leveraging external-trial data: with applications to rare-disease trials Adaptive Designs and Bayesian Approaches: The Future of Clinical Trials |
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9:15am - 10:45am |
Mathematical and Statistical Modelling in the Life Sciences: Seeking causal explanations Location: Biozentrum U1.111 In silico simulations of cancer-immune interactions to aid clinical trial design and execution Evolutionary dynamics of cancer progression and response to treatment Using DAGs and dynamical simulations to explore and understand causal links |
Clinical trials with longitudinal and clustered data Location: Biozentrum U1.131 Location-Scale Latent Process Model for Repeated Ordinal Patient Reported Outcomes Causal approaches for the design and long-term treatment effect estimations of hybrid randomized clinical trials with longitudinal outcomes Prediction powered inference for trials with survival outcomes Repeated measurements modelling of titration effects in multi-arm clinical trials |
Bayesian methods 2 Location: Biozentrum U1.141 Using a foundation model for detecting and reducing site-specific differences in federated meta-analysis of regression models Sample size calculations for prediction model development: A general Bayesian-framework using posterior distributions to examine expected performance, degradation and stability Efficient Utilization of Dose-Schedule Grids for Optimal Therapeutic Outcomes in Non-Oncology Settings On the interplay between prior weight and vague variance in Robust Mixture Priors Bayesian nonparametric methods for inferring causal effects of longitudinal treatments amidst missing covariate data |
Machine learning 1 Location: Biozentrum U1.101 Causal machine learning methods for dynamic and static treatment strategies deprescribing medications in a polypharmacy population using electronic health records. Overview and practical recommendations on using Shapley Values for identifying predictive biomarkers via CATE modeling Signpost testing to navigate the high-dimensional parameter space of the linear regression model Leveraging Influence Functions for Statistical Inference in R Optimal testing for the presence of conditional average treatment effects |
Infectious disease modelling Location: ETH E27 Flexible parametric additive hazards regression for modeling excess mortality in pandemics Parameter Estimation in Compartmental Epidemic Models with Heterogeneity in Susceptibility Unobserved intermediate events in multi-state models in a pandemic setting Controlled vaccine efficacy using a joint model for sparse immunological data and time-to-disease. Infectious Disease Estimands That Are Insensitive to Interference |
Meta science 1 Location: ETH E23 Quantifying the variation in effects due to multiplicity of analysis strategies – A conceptional perspective Uncertainty in individual predictions: sample size versus model and modeler choices Quantifying reproducibility - Results from a scoping review on reproducibility metrics and simulation studies into their real-world applicability Data quality, a blind spot in study and reporting guidelines To adjust or not: it is not the tests performed that count but how they are reported and interpreted |
Design and analysis of trials in rare diseases Location: ETH E21 Blinded sample size re-estimation accounting for estimation error with small internal pilot studies Randomization in clinical trials with small sample sizes using group sequential designs Adjusting for allocation bias in stratified clinical trials with multi-component endpoints Methodological insights from the EPISTOP trial for designing and analysing clinical trials in rare diseases Modified crossover trials to improve feasibility of evaluating multiple treatments for rare relapsing-remitting conditions |
Poster Exhibition: T / Tuesday posters Location: Poster Location 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 Advantages and pitfalls of a multi-centre register collecting long-term real-world data on medical devices: Insights from a cochlear implant registry Development and validation of prognostic models in phase I oncology clinical trials Application of Bayesian surrogacy models to select primary endpoint in phase 2 based on relationship to a phase 3 endpoint Discontinuation and attrition rates in phase II or phase III first-line randomized clinical trials (RCTs) of solid tumors Enhancing Dose Selection in Phase I Cancer Trials: Extending the Bayesian Logistic Regression Model with Non-DLT Adverse Events Integration Bayesian Inference of the Parametric Piecewise Accelerated Failure Time Models for Immune-oncology Clinical Trials Bayesian power-based sample size determination for single-arm clinical trials with time-to-event endpoints Calibration of dose-agnostic priors for Bayesian dose-finding trial designs with multiple outcomes Estimands in platform trials with time - treatment interactions A Graphical Approach to Subpopulation Testing in Biomarker-Driven Clinical Trial Design Optimizing Biomarker-Based Enrichment strategies in clinical trials Leveraging Synthetic Data for Enhanced Clinical Research Outcomes Graph-Based Integration of Heterogeneous Biological Data for Precision Medicine: A Comparative Analysis of Neo4j and MySQL Revolutionizing Clinical Data Management: A Strategic Roadmap for Integrating AI/ML into CDM Strategies to scale up model selection for analysis of proteomic datasets using multiple linear mixed-effect models Cost-utility analysis of sodium-glucose cotransporter-2 inhibitors on chronic kidney disease progression in diabetes patients: a real-world data in Thailand Comparing the Safety and Effectiveness of Covid-19 Vaccines administered in England using OpenSAFELY: A Common Analytic Protocol Statistical requirements in medical diagnostic development across the UK, US, and EU markets: A review of regulation, guidelines and standards. Calf muscle development in NICU graduates compared with typically developing babies: an analysis of growth trajectories using linear mixed models Automating Report Generation with Stata: A Case Study of NORUSE Maternal Mortality Rate in Sudan 2020: Causes of Death, Obstetric Characteristics and Territorial Disparity, Using Statistical Analysis. Community-Based Health Screening Attendance and All-Cause Mortality in Rural South Africa: A Causal Analysis Reducing Uncertainty in Fertility Meta-Analysis: A Multivariate Approach to Clinical Pregnancy and Live Birth Outcomes Causal discovery for multi-cohort studies Extension of Causal Interaction Estimation Techniques through Integration of Machine Learning Algorithms Embrace Variety, Find Balance: Integrating Clinical Trial and External Data Using Causal Inference Methods Revisiting subgroup analysis: A reflection on health disparities using conditional independence Comparison of Multiple Imputation Approaches for Skewed Outcomes in Randomised Trials: a Simulation Study Assessing the effect of drug adherence on longitudinal clinical outcomes: A comparison of Instrumental Variable and Inverse Probability Weighting methods. Compliance between different anthropometric indexes reflecting nutritional status in women with polycystic ovary syndrome Effectiveness of different macronutrient composition diets on weight loss and blood pressure. A network meta-analysis Going from methodological research to methods guidance: the STandards for the development REseArch Methods guidance (STREAM) initiative Effectiveness of a Skill Check Sheet for Registered Dietitians: A Cluster Randomized Controlled Trial Protocol Bootstrap-based approaches for inference on the total deviation index in agreement studies with replicates Baseline treatment group adjustment in the BEST study, a longitudinal randomised controlled trial. The Subtle Yet Impactful Choices in Procedure to conduct Matching-Adjusted Indirect Comparison - Insights from Simulation Utility-based design: an improved approach to jointly analyze efficacy and safety in randomized comparative trials Hierarchical Composite Endpoints and win ratio methods in cardiovascular trials: a systematic review and consequent guidance Power calculation using the win-ratio for composite outcomes in randomized trials Feasibility of propensity score weighted analysis in rare disease trials: a simulation study A basket trial for rare diseases, with a crossover design for its substudies: a simulation study Comparing randomized trial designs in rare diseases with longitudinal models: a simulation study showcased by Autosomal Recessive Cerebellar Ataxias Sequential decision making in basket trials leveraging external-trial data: with applications to rare-disease trials Adaptive Designs and Bayesian Approaches: The Future of Clinical Trials |
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10:45am - 11:30am |
Coffee Break |
Poster Exhibition: T / Tuesday posters Location: Poster Location 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 Advantages and pitfalls of a multi-centre register collecting long-term real-world data on medical devices: Insights from a cochlear implant registry Development and validation of prognostic models in phase I oncology clinical trials Application of Bayesian surrogacy models to select primary endpoint in phase 2 based on relationship to a phase 3 endpoint Discontinuation and attrition rates in phase II or phase III first-line randomized clinical trials (RCTs) of solid tumors Enhancing Dose Selection in Phase I Cancer Trials: Extending the Bayesian Logistic Regression Model with Non-DLT Adverse Events Integration Bayesian Inference of the Parametric Piecewise Accelerated Failure Time Models for Immune-oncology Clinical Trials Bayesian power-based sample size determination for single-arm clinical trials with time-to-event endpoints Calibration of dose-agnostic priors for Bayesian dose-finding trial designs with multiple outcomes Estimands in platform trials with time - treatment interactions A Graphical Approach to Subpopulation Testing in Biomarker-Driven Clinical Trial Design Optimizing Biomarker-Based Enrichment strategies in clinical trials Leveraging Synthetic Data for Enhanced Clinical Research Outcomes Graph-Based Integration of Heterogeneous Biological Data for Precision Medicine: A Comparative Analysis of Neo4j and MySQL Revolutionizing Clinical Data Management: A Strategic Roadmap for Integrating AI/ML into CDM Strategies to scale up model selection for analysis of proteomic datasets using multiple linear mixed-effect models Cost-utility analysis of sodium-glucose cotransporter-2 inhibitors on chronic kidney disease progression in diabetes patients: a real-world data in Thailand Comparing the Safety and Effectiveness of Covid-19 Vaccines administered in England using OpenSAFELY: A Common Analytic Protocol Statistical requirements in medical diagnostic development across the UK, US, and EU markets: A review of regulation, guidelines and standards. Calf muscle development in NICU graduates compared with typically developing babies: an analysis of growth trajectories using linear mixed models Automating Report Generation with Stata: A Case Study of NORUSE Maternal Mortality Rate in Sudan 2020: Causes of Death, Obstetric Characteristics and Territorial Disparity, Using Statistical Analysis. Community-Based Health Screening Attendance and All-Cause Mortality in Rural South Africa: A Causal Analysis Reducing Uncertainty in Fertility Meta-Analysis: A Multivariate Approach to Clinical Pregnancy and Live Birth Outcomes Causal discovery for multi-cohort studies Extension of Causal Interaction Estimation Techniques through Integration of Machine Learning Algorithms Embrace Variety, Find Balance: Integrating Clinical Trial and External Data Using Causal Inference Methods Revisiting subgroup analysis: A reflection on health disparities using conditional independence Comparison of Multiple Imputation Approaches for Skewed Outcomes in Randomised Trials: a Simulation Study Assessing the effect of drug adherence on longitudinal clinical outcomes: A comparison of Instrumental Variable and Inverse Probability Weighting methods. Compliance between different anthropometric indexes reflecting nutritional status in women with polycystic ovary syndrome Effectiveness of different macronutrient composition diets on weight loss and blood pressure. A network meta-analysis Going from methodological research to methods guidance: the STandards for the development REseArch Methods guidance (STREAM) initiative Effectiveness of a Skill Check Sheet for Registered Dietitians: A Cluster Randomized Controlled Trial Protocol Bootstrap-based approaches for inference on the total deviation index in agreement studies with replicates Baseline treatment group adjustment in the BEST study, a longitudinal randomised controlled trial. The Subtle Yet Impactful Choices in Procedure to conduct Matching-Adjusted Indirect Comparison - Insights from Simulation Utility-based design: an improved approach to jointly analyze efficacy and safety in randomized comparative trials Hierarchical Composite Endpoints and win ratio methods in cardiovascular trials: a systematic review and consequent guidance Power calculation using the win-ratio for composite outcomes in randomized trials Feasibility of propensity score weighted analysis in rare disease trials: a simulation study A basket trial for rare diseases, with a crossover design for its substudies: a simulation study Comparing randomized trial designs in rare diseases with longitudinal models: a simulation study showcased by Autosomal Recessive Cerebellar Ataxias Sequential decision making in basket trials leveraging external-trial data: with applications to rare-disease trials Adaptive Designs and Bayesian Approaches: The Future of Clinical Trials |
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11:30am - 1:00pm |
Optimizing efficiency in adaptive trial designs Location: Biozentrum U1.111 Title TBD Optimizing Treatment Allocation in Platform Trials: A Need for New Rules? Confirmatory adaptive enrichment designs with a continuous biomarker |
Survival and recurrent events in clinical trials Location: Biozentrum U1.131 Reevaluating Recurrent Events in Heart Failure Trials: Patterns, Prognostic Implications, and Analytical Improvements Balancing events, not patients, maximizes power of the logrank test: and other insights on unequal randomization in survival trials An alternative to classical intention-to-treat analysis for comparing a time-to-event endpoint in precision oncology trials Proposing a new method to estimate the survival of the Intention-to-Treat population in trials with Two-Stage-Randomization-Design RCT for recurrent events |
Alternative estimands in causal inference Location: Biozentrum U1.141 Assumption-lean modeling for patient-centered decision-making Causal inference targeting a concentration index for studies of health inequalities Rethinking the Win Ratio: A Causal Framework for Hierarchical Outcome Analysis Assessing individual-level uncertainty of causal predictions through the causal effective sample size Estimating Win Ratio for Prioritized Composite Outcomes in the Presence of Noncompliance |
Machine learning, deep learning, and AI Location: Biozentrum U1.101 Performance evaluation of dimensionality reduction techniques on high-dimensional DNA methylation data Deep Generalised Mixed Effects Models: a Novel General Neural Network Structure for Analysing Hierarchical Data Adapting transformer neural networks for longitudinal data with few time points Distinguishing subgroup and site-specific heterogeneity in multi-site prognostic models using a neural network representation Unraveling Breast Cancer Genetic Risk in Chinese Women: Integrating GWAS, Fine-Mapping, and Machine Learning in the China Kadoorie Biobank |
Meta-analysis 2 Location: ETH E27 How to quantify between-study heterogeneity in single-arm evidence synthesis Bayesian random-effects meta-analysis with empirical heterogeneity priors for HTA applications in the situation of very few studies Assessing inconsistency in flexible meta-regression using network meta analysis Illuminating the Assumptions of Meta-Regression in Treatment Networks Transitivity in Network Meta-Analysis: A Formal Framework and Practical Implications |
Meta science 2 Location: ETH E23 Developing communication skills in biostatistical consulting and collaboration Are we “Essential” or “Not Needed”? Varying perceptions of statisticians' value, a national study of human research ethics committees An Empirical Assessment of the Cost of Dichotomization Reporting Completeness in Conventional and Machine Learning-Based COVID-19 Prognostic Models: A Meta-Epidemiological Study How to improve data quality reporting: a real-world data example using registry data |
Statistical methods in epidemiology Location: ETH E21 Federated Inference methods for estimation and comparison of Standardized Mortality Ratios A mixture model for subtype identification: Application to CADASIL Performance of a residual-based algorithm aiming at identifying response shift at the item level using Rasch models: a simulation study Lifecourse modelling and time-varying covariates: empirical application and simulation study for novel method Emulating hypothetical interventions of physical activity on obesity: applying target trial emulation in the 1970 Birth Cohort Study |
Poster Exhibition: T / Tuesday posters Location: Poster Location 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 Advantages and pitfalls of a multi-centre register collecting long-term real-world data on medical devices: Insights from a cochlear implant registry Development and validation of prognostic models in phase I oncology clinical trials Application of Bayesian surrogacy models to select primary endpoint in phase 2 based on relationship to a phase 3 endpoint Discontinuation and attrition rates in phase II or phase III first-line randomized clinical trials (RCTs) of solid tumors Enhancing Dose Selection in Phase I Cancer Trials: Extending the Bayesian Logistic Regression Model with Non-DLT Adverse Events Integration Bayesian Inference of the Parametric Piecewise Accelerated Failure Time Models for Immune-oncology Clinical Trials Bayesian power-based sample size determination for single-arm clinical trials with time-to-event endpoints Calibration of dose-agnostic priors for Bayesian dose-finding trial designs with multiple outcomes Estimands in platform trials with time - treatment interactions A Graphical Approach to Subpopulation Testing in Biomarker-Driven Clinical Trial Design Optimizing Biomarker-Based Enrichment strategies in clinical trials Leveraging Synthetic Data for Enhanced Clinical Research Outcomes Graph-Based Integration of Heterogeneous Biological Data for Precision Medicine: A Comparative Analysis of Neo4j and MySQL Revolutionizing Clinical Data Management: A Strategic Roadmap for Integrating AI/ML into CDM Strategies to scale up model selection for analysis of proteomic datasets using multiple linear mixed-effect models Cost-utility analysis of sodium-glucose cotransporter-2 inhibitors on chronic kidney disease progression in diabetes patients: a real-world data in Thailand Comparing the Safety and Effectiveness of Covid-19 Vaccines administered in England using OpenSAFELY: A Common Analytic Protocol Statistical requirements in medical diagnostic development across the UK, US, and EU markets: A review of regulation, guidelines and standards. Calf muscle development in NICU graduates compared with typically developing babies: an analysis of growth trajectories using linear mixed models Automating Report Generation with Stata: A Case Study of NORUSE Maternal Mortality Rate in Sudan 2020: Causes of Death, Obstetric Characteristics and Territorial Disparity, Using Statistical Analysis. Community-Based Health Screening Attendance and All-Cause Mortality in Rural South Africa: A Causal Analysis Reducing Uncertainty in Fertility Meta-Analysis: A Multivariate Approach to Clinical Pregnancy and Live Birth Outcomes Causal discovery for multi-cohort studies Extension of Causal Interaction Estimation Techniques through Integration of Machine Learning Algorithms Embrace Variety, Find Balance: Integrating Clinical Trial and External Data Using Causal Inference Methods Revisiting subgroup analysis: A reflection on health disparities using conditional independence Comparison of Multiple Imputation Approaches for Skewed Outcomes in Randomised Trials: a Simulation Study Assessing the effect of drug adherence on longitudinal clinical outcomes: A comparison of Instrumental Variable and Inverse Probability Weighting methods. Compliance between different anthropometric indexes reflecting nutritional status in women with polycystic ovary syndrome Effectiveness of different macronutrient composition diets on weight loss and blood pressure. A network meta-analysis Going from methodological research to methods guidance: the STandards for the development REseArch Methods guidance (STREAM) initiative Effectiveness of a Skill Check Sheet for Registered Dietitians: A Cluster Randomized Controlled Trial Protocol Bootstrap-based approaches for inference on the total deviation index in agreement studies with replicates Baseline treatment group adjustment in the BEST study, a longitudinal randomised controlled trial. The Subtle Yet Impactful Choices in Procedure to conduct Matching-Adjusted Indirect Comparison - Insights from Simulation Utility-based design: an improved approach to jointly analyze efficacy and safety in randomized comparative trials Hierarchical Composite Endpoints and win ratio methods in cardiovascular trials: a systematic review and consequent guidance Power calculation using the win-ratio for composite outcomes in randomized trials Feasibility of propensity score weighted analysis in rare disease trials: a simulation study A basket trial for rare diseases, with a crossover design for its substudies: a simulation study Comparing randomized trial designs in rare diseases with longitudinal models: a simulation study showcased by Autosomal Recessive Cerebellar Ataxias Sequential decision making in basket trials leveraging external-trial data: with applications to rare-disease trials Adaptive Designs and Bayesian Approaches: The Future of Clinical Trials |
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1:00pm - 2:00pm |
Lunch |
Poster Exhibition: T / Tuesday posters Location: Poster Location 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 Advantages and pitfalls of a multi-centre register collecting long-term real-world data on medical devices: Insights from a cochlear implant registry Development and validation of prognostic models in phase I oncology clinical trials Application of Bayesian surrogacy models to select primary endpoint in phase 2 based on relationship to a phase 3 endpoint Discontinuation and attrition rates in phase II or phase III first-line randomized clinical trials (RCTs) of solid tumors Enhancing Dose Selection in Phase I Cancer Trials: Extending the Bayesian Logistic Regression Model with Non-DLT Adverse Events Integration Bayesian Inference of the Parametric Piecewise Accelerated Failure Time Models for Immune-oncology Clinical Trials Bayesian power-based sample size determination for single-arm clinical trials with time-to-event endpoints Calibration of dose-agnostic priors for Bayesian dose-finding trial designs with multiple outcomes Estimands in platform trials with time - treatment interactions A Graphical Approach to Subpopulation Testing in Biomarker-Driven Clinical Trial Design Optimizing Biomarker-Based Enrichment strategies in clinical trials Leveraging Synthetic Data for Enhanced Clinical Research Outcomes Graph-Based Integration of Heterogeneous Biological Data for Precision Medicine: A Comparative Analysis of Neo4j and MySQL Revolutionizing Clinical Data Management: A Strategic Roadmap for Integrating AI/ML into CDM Strategies to scale up model selection for analysis of proteomic datasets using multiple linear mixed-effect models Cost-utility analysis of sodium-glucose cotransporter-2 inhibitors on chronic kidney disease progression in diabetes patients: a real-world data in Thailand Comparing the Safety and Effectiveness of Covid-19 Vaccines administered in England using OpenSAFELY: A Common Analytic Protocol Statistical requirements in medical diagnostic development across the UK, US, and EU markets: A review of regulation, guidelines and standards. Calf muscle development in NICU graduates compared with typically developing babies: an analysis of growth trajectories using linear mixed models Automating Report Generation with Stata: A Case Study of NORUSE Maternal Mortality Rate in Sudan 2020: Causes of Death, Obstetric Characteristics and Territorial Disparity, Using Statistical Analysis. Community-Based Health Screening Attendance and All-Cause Mortality in Rural South Africa: A Causal Analysis Reducing Uncertainty in Fertility Meta-Analysis: A Multivariate Approach to Clinical Pregnancy and Live Birth Outcomes Causal discovery for multi-cohort studies Extension of Causal Interaction Estimation Techniques through Integration of Machine Learning Algorithms Embrace Variety, Find Balance: Integrating Clinical Trial and External Data Using Causal Inference Methods Revisiting subgroup analysis: A reflection on health disparities using conditional independence Comparison of Multiple Imputation Approaches for Skewed Outcomes in Randomised Trials: a Simulation Study Assessing the effect of drug adherence on longitudinal clinical outcomes: A comparison of Instrumental Variable and Inverse Probability Weighting methods. Compliance between different anthropometric indexes reflecting nutritional status in women with polycystic ovary syndrome Effectiveness of different macronutrient composition diets on weight loss and blood pressure. A network meta-analysis Going from methodological research to methods guidance: the STandards for the development REseArch Methods guidance (STREAM) initiative Effectiveness of a Skill Check Sheet for Registered Dietitians: A Cluster Randomized Controlled Trial Protocol Bootstrap-based approaches for inference on the total deviation index in agreement studies with replicates Baseline treatment group adjustment in the BEST study, a longitudinal randomised controlled trial. The Subtle Yet Impactful Choices in Procedure to conduct Matching-Adjusted Indirect Comparison - Insights from Simulation Utility-based design: an improved approach to jointly analyze efficacy and safety in randomized comparative trials Hierarchical Composite Endpoints and win ratio methods in cardiovascular trials: a systematic review and consequent guidance Power calculation using the win-ratio for composite outcomes in randomized trials Feasibility of propensity score weighted analysis in rare disease trials: a simulation study A basket trial for rare diseases, with a crossover design for its substudies: a simulation study Comparing randomized trial designs in rare diseases with longitudinal models: a simulation study showcased by Autosomal Recessive Cerebellar Ataxias Sequential decision making in basket trials leveraging external-trial data: with applications to rare-disease trials Adaptive Designs and Bayesian Approaches: The Future of Clinical Trials |
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2:00pm - 6:00pm |
Excursions |
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