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: Wednesday, 27/Aug/2025 | ||||
| 9:00am - 10:30am |
Cracking causal questions: Estimands for reliable and clinically relevant evidence Location: Biozentrum U1.111 Chasing Shadows: How Implausible Assumptions Skew Our Understanding of Causal Estimands Paving the ground for breakthrough innovations in Alzheimer’s Disease drug development with the estimand framework and causal inference Estimating causal overall survival estimands in the presence of treatment switching using multi-state models |
Design and evaluation of clinical trials Location: Biozentrum U1.131 Clinical trial simulation: Planning, implementation and validation principles Early Phase Dose-Finding Designs for CAR-T cell Therapies Fast approximation of the operating characteristics in clinical trials Quantifying the effects of screening – a re-randomisation approach From Methodology to Mindset: Implementing Quantitative Decision-Making Framework into Early Development Clinical Trials |
Competing events and multi-state modelling Location: Biozentrum U1.141 A general approach to fitting multistate cure models based on an extended-long-format data structure Calibration of cause-specific absolute risk for external validation using each cause-specific hazards model in the presence of competing events Multi-state models with restricted transition windows: The impact of time scale choice Integrating Landmarking and Competing Risks in Survival Analysis with Machine Learning Techniques Survival without vs after transition to the intermediate event in a non-markovian “illness-death” model: application to heart transplant data |
Machine learning 2 Location: Biozentrum U1.101 Asymmetric Shapley values to quantify the importance of genomic variables in clinical prediction studies Fused Estimation of Varying Omics Effects for Clinico-genomic Data Random forests using longitudinal predictors Digital Twins you can ‘count’ on: a novel application of digital-twin prognostic scores in Negative-Binomial models. Calibrating machine learning approaches for probability estimation in case of the absence of calibration data |
| Prediction / prognostic modelling 3 Location: ETH E27 Predicting Prediction Performance Predictive modelling with block missingness Lifestyle Predictors of All-Cause Mortality: Enhancing Risk Models Beyond Traditional Biomarkers Development and validation of the Options model, a clinical prediction model predicting risk of emergency caesarean births in nulliparous women Optimizing Dynamic Predictions from Joint Models using Super Learning |
Infectious disease and longitudinal modelling Location: ETH E23 Estimating transmission parameters of stochastic epidemic models using survival analysis techniques Estimating Mean Viral Load Trajectory at the Beginning of a pandemic Investigating the Association between Risky Sexual Behaviors and HIV Risk Using Multivariate Joint Models Revealing Platelet Aggregation Dynamics: A Functional Data Analysis Approach Using Penalized Splines and Linear Mixed Models. Source Data Mapping Approach to CDMV5.4: Innovations in Longitudinal Data Integration for Machine Learning Application |
Biomarker studies & mixed topics Location: ETH E21 Quantifying the Clinical Usefulness of Novel Biomarkers and Tests: Beyond Traditional Statistics The underlap coefficient as measure of a biomarker’s discriminatory ability in a multi-class disease setting Time-dependent accuracy for Continuous Biomarkers using Copula Modelling Sample size determination for hypothesis testing of the intraclass correlation coefficient for agreement in two-way ANOVA models Accounting for misclassification of binary outcomes in external control arm studies for unanchored indirect comparisons: simulations and applied example |
Poster Exhibition: W / Wednesday posters Location: Poster Location 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. Cure models to compare aftercare monitoring schemes in pediatric cancer Comparison of treatment sequences in advanced pancreatic cancer Clinical Trials with Time-to-event-endpoint: Interim Prediction of Number of Events with Confidence Distributions A Bayesian-Informed Dose-Escalation Design for Multi-Cohort Oncology Trials with Varying Maximum Tolerated Doses Comparison of Bayesian Approaches in Single-Agent Dose-Finding Studies Evaluating the effect of different non-informative prior specifications on the Bayesian proportional odds model in randomised controlled trials Bayesian decision analysis for clinical trial design with binary outcome in the context of Ebola Virus Disease outbreak – Simulation study Relevance of Electronic Medical Records for Clinical Trial Eligibility: A Feasibility Assessment in Acute Stroke Studies Navigating complex and computationally demanding clinical trial simulation Transforming Clinical Trials: The Power of Synthetic Data in Augmenting Control Arms Integrating stakeholder perspectives in modeling routine data for therapeutic decision-making Aligning Synthetic Trajectories from Expert-Based Models with Real Patient Data Using Low-Dimensional Representations Integrating semantic information in care pathway studies with medical code embeddings, application to the case of Amyotrophic Lateral Sclerosis Inequalities in impact of respiratory viruses: development and analysis of respiratory virus phenotypes in EHRs from England using OpenSAFELY Modeling Longitudinal Clinical Outcomes: Comparison of Generalized Linear Models, Generalized Estimating Equations, and Marginalized Multilevel Models in Pediatric Intensive Care Modelling the costeffectiveness of Truvada for the Prevention of Mother to Child Prevention (PMTCT) of Hepatitis B Virus in Botswana Application of machine learning methods for the analysis of randomised controlled trials: A systematic review Joint longitudinal modelling of non-normally distributed outcomes and endogenous covariates Mediation analysis for exploring gender differences in mortality among acute myocardial infarction Bivariate random-effects models for the meta-analysis of rare events Time-varying Decomposition of Direct and Indirect Effects with Multiple Longitudinal Mediators Causal framework for analyzing mediation effects of clinical biomarkers A Modified Doubly Robust Estimator for Clustered Causal Inference: Integrating GLMM and GBM DoubleMLDeep: Estimation of Causal Effects with Multimodal Data Causal Machine Learning Methods for Estimating Personalised Treatment Effects - Insights on validity from two large trials Challenges with subgroup analyses in individual participant data meta-analysis of randomised trials Illustration and evaluation of a causal approach to sensitivity analysis for unmeasured confounding using measured proxies with a simulation study Quantifying causal treatment effect on binary outcome in RCTs with noncompliance: estimating risk difference, risk ratio and odds ratio Blinded sample size recalculation for randomized controlled trials with analysis of covariance Variance stabilization transformation for the intraclass correlation coefficient of agreement with an application example to meta-analyses of inter-rater reliability studies Bridging Single Arm Studies with Individual Participant Data in Network Meta-Analysis of Randomized Controlled Trials: A Simulation Study Comparative Efficacy and Safety of Migraine Treatments: A Network Meta-Analysis of Clinical Outcomes Optimal standardization as an alternative to matching using propensity scores Evaluating Diagnostic Tests Against Composite Reference Standards: Quantifying and Adjusting for Bias Characteristics, Design and Statistical Methods in Platform Trials: A Systematic Review WRestimates: An R Package for Win-Ratio Sample Size and Power Calculations Randomizing With Investigator Choice of Treatment: A Powerful Pragmatic Tool in Clinical Trials Confirming assay sensitivity in 2-arm non-inferiority trial using meta-analytic-predictive approach Adding baskets to an ongoing basket trial with information borrowing: When do you benefit? Optimizing Adaptive Trial Design to Ensure Robustness Across Varying Treatment Effect Assumptions N-of-1 Trials to Estimate Individual Effects of Music on Concentration Simulation Study Examining Impact of Study Design Factors on Variability Measures Simulation-based optimization of adaptive designs using a generalized version of assurance Evaluating the impact of outcome delay on adaptive designs |
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| 10:30am - 11:00am |
Coffee Break |
Poster Exhibition: W / Wednesday posters Location: Poster Location 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. Cure models to compare aftercare monitoring schemes in pediatric cancer Comparison of treatment sequences in advanced pancreatic cancer Clinical Trials with Time-to-event-endpoint: Interim Prediction of Number of Events with Confidence Distributions A Bayesian-Informed Dose-Escalation Design for Multi-Cohort Oncology Trials with Varying Maximum Tolerated Doses Comparison of Bayesian Approaches in Single-Agent Dose-Finding Studies Evaluating the effect of different non-informative prior specifications on the Bayesian proportional odds model in randomised controlled trials Bayesian decision analysis for clinical trial design with binary outcome in the context of Ebola Virus Disease outbreak – Simulation study Relevance of Electronic Medical Records for Clinical Trial Eligibility: A Feasibility Assessment in Acute Stroke Studies Navigating complex and computationally demanding clinical trial simulation Transforming Clinical Trials: The Power of Synthetic Data in Augmenting Control Arms Integrating stakeholder perspectives in modeling routine data for therapeutic decision-making Aligning Synthetic Trajectories from Expert-Based Models with Real Patient Data Using Low-Dimensional Representations Integrating semantic information in care pathway studies with medical code embeddings, application to the case of Amyotrophic Lateral Sclerosis Inequalities in impact of respiratory viruses: development and analysis of respiratory virus phenotypes in EHRs from England using OpenSAFELY Modeling Longitudinal Clinical Outcomes: Comparison of Generalized Linear Models, Generalized Estimating Equations, and Marginalized Multilevel Models in Pediatric Intensive Care Modelling the costeffectiveness of Truvada for the Prevention of Mother to Child Prevention (PMTCT) of Hepatitis B Virus in Botswana Application of machine learning methods for the analysis of randomised controlled trials: A systematic review Joint longitudinal modelling of non-normally distributed outcomes and endogenous covariates Mediation analysis for exploring gender differences in mortality among acute myocardial infarction Bivariate random-effects models for the meta-analysis of rare events Time-varying Decomposition of Direct and Indirect Effects with Multiple Longitudinal Mediators Causal framework for analyzing mediation effects of clinical biomarkers A Modified Doubly Robust Estimator for Clustered Causal Inference: Integrating GLMM and GBM DoubleMLDeep: Estimation of Causal Effects with Multimodal Data Causal Machine Learning Methods for Estimating Personalised Treatment Effects - Insights on validity from two large trials Challenges with subgroup analyses in individual participant data meta-analysis of randomised trials Illustration and evaluation of a causal approach to sensitivity analysis for unmeasured confounding using measured proxies with a simulation study Quantifying causal treatment effect on binary outcome in RCTs with noncompliance: estimating risk difference, risk ratio and odds ratio Blinded sample size recalculation for randomized controlled trials with analysis of covariance Variance stabilization transformation for the intraclass correlation coefficient of agreement with an application example to meta-analyses of inter-rater reliability studies Bridging Single Arm Studies with Individual Participant Data in Network Meta-Analysis of Randomized Controlled Trials: A Simulation Study Comparative Efficacy and Safety of Migraine Treatments: A Network Meta-Analysis of Clinical Outcomes Optimal standardization as an alternative to matching using propensity scores Evaluating Diagnostic Tests Against Composite Reference Standards: Quantifying and Adjusting for Bias Characteristics, Design and Statistical Methods in Platform Trials: A Systematic Review WRestimates: An R Package for Win-Ratio Sample Size and Power Calculations Randomizing With Investigator Choice of Treatment: A Powerful Pragmatic Tool in Clinical Trials Confirming assay sensitivity in 2-arm non-inferiority trial using meta-analytic-predictive approach Adding baskets to an ongoing basket trial with information borrowing: When do you benefit? Optimizing Adaptive Trial Design to Ensure Robustness Across Varying Treatment Effect Assumptions N-of-1 Trials to Estimate Individual Effects of Music on Concentration Simulation Study Examining Impact of Study Design Factors on Variability Measures Simulation-based optimization of adaptive designs using a generalized version of assurance Evaluating the impact of outcome delay on adaptive designs |
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| 11:00am - 12:15pm |
Statistical and causal perspectives on machine learning in estimating individualized treatment strategies Erica E. M. Moodle Biostatistics, McGill University, Canada Location: Biozentrum U1.111 |
Statistical and causal perspectives on machine learning in estimating individualized treatment strategies Location: Biozentrum U1.131, U1.141, U1.101 & ETH E27, E23, E21 Livestream of the plenary
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| 12:15pm - 1:30pm |
ISCB Annual General Meeting Location: Biozentrum U1.111 |
Poster Exhibition: W / Wednesday posters Location: Poster Location 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. Cure models to compare aftercare monitoring schemes in pediatric cancer Comparison of treatment sequences in advanced pancreatic cancer Clinical Trials with Time-to-event-endpoint: Interim Prediction of Number of Events with Confidence Distributions A Bayesian-Informed Dose-Escalation Design for Multi-Cohort Oncology Trials with Varying Maximum Tolerated Doses Comparison of Bayesian Approaches in Single-Agent Dose-Finding Studies Evaluating the effect of different non-informative prior specifications on the Bayesian proportional odds model in randomised controlled trials Bayesian decision analysis for clinical trial design with binary outcome in the context of Ebola Virus Disease outbreak – Simulation study Relevance of Electronic Medical Records for Clinical Trial Eligibility: A Feasibility Assessment in Acute Stroke Studies Navigating complex and computationally demanding clinical trial simulation Transforming Clinical Trials: The Power of Synthetic Data in Augmenting Control Arms Integrating stakeholder perspectives in modeling routine data for therapeutic decision-making Aligning Synthetic Trajectories from Expert-Based Models with Real Patient Data Using Low-Dimensional Representations Integrating semantic information in care pathway studies with medical code embeddings, application to the case of Amyotrophic Lateral Sclerosis Inequalities in impact of respiratory viruses: development and analysis of respiratory virus phenotypes in EHRs from England using OpenSAFELY Modeling Longitudinal Clinical Outcomes: Comparison of Generalized Linear Models, Generalized Estimating Equations, and Marginalized Multilevel Models in Pediatric Intensive Care Modelling the costeffectiveness of Truvada for the Prevention of Mother to Child Prevention (PMTCT) of Hepatitis B Virus in Botswana Application of machine learning methods for the analysis of randomised controlled trials: A systematic review Joint longitudinal modelling of non-normally distributed outcomes and endogenous covariates Mediation analysis for exploring gender differences in mortality among acute myocardial infarction Bivariate random-effects models for the meta-analysis of rare events Time-varying Decomposition of Direct and Indirect Effects with Multiple Longitudinal Mediators Causal framework for analyzing mediation effects of clinical biomarkers A Modified Doubly Robust Estimator for Clustered Causal Inference: Integrating GLMM and GBM DoubleMLDeep: Estimation of Causal Effects with Multimodal Data Causal Machine Learning Methods for Estimating Personalised Treatment Effects - Insights on validity from two large trials Challenges with subgroup analyses in individual participant data meta-analysis of randomised trials Illustration and evaluation of a causal approach to sensitivity analysis for unmeasured confounding using measured proxies with a simulation study Quantifying causal treatment effect on binary outcome in RCTs with noncompliance: estimating risk difference, risk ratio and odds ratio Blinded sample size recalculation for randomized controlled trials with analysis of covariance Variance stabilization transformation for the intraclass correlation coefficient of agreement with an application example to meta-analyses of inter-rater reliability studies Bridging Single Arm Studies with Individual Participant Data in Network Meta-Analysis of Randomized Controlled Trials: A Simulation Study Comparative Efficacy and Safety of Migraine Treatments: A Network Meta-Analysis of Clinical Outcomes Optimal standardization as an alternative to matching using propensity scores Evaluating Diagnostic Tests Against Composite Reference Standards: Quantifying and Adjusting for Bias Characteristics, Design and Statistical Methods in Platform Trials: A Systematic Review WRestimates: An R Package for Win-Ratio Sample Size and Power Calculations Randomizing With Investigator Choice of Treatment: A Powerful Pragmatic Tool in Clinical Trials Confirming assay sensitivity in 2-arm non-inferiority trial using meta-analytic-predictive approach Adding baskets to an ongoing basket trial with information borrowing: When do you benefit? Optimizing Adaptive Trial Design to Ensure Robustness Across Varying Treatment Effect Assumptions N-of-1 Trials to Estimate Individual Effects of Music on Concentration Simulation Study Examining Impact of Study Design Factors on Variability Measures Simulation-based optimization of adaptive designs using a generalized version of assurance Evaluating the impact of outcome delay on adaptive designs |
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| 1:00pm - 2:00pm |
Lunch |
Poster Exhibition: W / Wednesday posters Location: Poster Location 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. Cure models to compare aftercare monitoring schemes in pediatric cancer Comparison of treatment sequences in advanced pancreatic cancer Clinical Trials with Time-to-event-endpoint: Interim Prediction of Number of Events with Confidence Distributions A Bayesian-Informed Dose-Escalation Design for Multi-Cohort Oncology Trials with Varying Maximum Tolerated Doses Comparison of Bayesian Approaches in Single-Agent Dose-Finding Studies Evaluating the effect of different non-informative prior specifications on the Bayesian proportional odds model in randomised controlled trials Bayesian decision analysis for clinical trial design with binary outcome in the context of Ebola Virus Disease outbreak – Simulation study Relevance of Electronic Medical Records for Clinical Trial Eligibility: A Feasibility Assessment in Acute Stroke Studies Navigating complex and computationally demanding clinical trial simulation Transforming Clinical Trials: The Power of Synthetic Data in Augmenting Control Arms Integrating stakeholder perspectives in modeling routine data for therapeutic decision-making Aligning Synthetic Trajectories from Expert-Based Models with Real Patient Data Using Low-Dimensional Representations Integrating semantic information in care pathway studies with medical code embeddings, application to the case of Amyotrophic Lateral Sclerosis Inequalities in impact of respiratory viruses: development and analysis of respiratory virus phenotypes in EHRs from England using OpenSAFELY Modeling Longitudinal Clinical Outcomes: Comparison of Generalized Linear Models, Generalized Estimating Equations, and Marginalized Multilevel Models in Pediatric Intensive Care Modelling the costeffectiveness of Truvada for the Prevention of Mother to Child Prevention (PMTCT) of Hepatitis B Virus in Botswana Application of machine learning methods for the analysis of randomised controlled trials: A systematic review Joint longitudinal modelling of non-normally distributed outcomes and endogenous covariates Mediation analysis for exploring gender differences in mortality among acute myocardial infarction Bivariate random-effects models for the meta-analysis of rare events Time-varying Decomposition of Direct and Indirect Effects with Multiple Longitudinal Mediators Causal framework for analyzing mediation effects of clinical biomarkers A Modified Doubly Robust Estimator for Clustered Causal Inference: Integrating GLMM and GBM DoubleMLDeep: Estimation of Causal Effects with Multimodal Data Causal Machine Learning Methods for Estimating Personalised Treatment Effects - Insights on validity from two large trials Challenges with subgroup analyses in individual participant data meta-analysis of randomised trials Illustration and evaluation of a causal approach to sensitivity analysis for unmeasured confounding using measured proxies with a simulation study Quantifying causal treatment effect on binary outcome in RCTs with noncompliance: estimating risk difference, risk ratio and odds ratio Blinded sample size recalculation for randomized controlled trials with analysis of covariance Variance stabilization transformation for the intraclass correlation coefficient of agreement with an application example to meta-analyses of inter-rater reliability studies Bridging Single Arm Studies with Individual Participant Data in Network Meta-Analysis of Randomized Controlled Trials: A Simulation Study Comparative Efficacy and Safety of Migraine Treatments: A Network Meta-Analysis of Clinical Outcomes Optimal standardization as an alternative to matching using propensity scores Evaluating Diagnostic Tests Against Composite Reference Standards: Quantifying and Adjusting for Bias Characteristics, Design and Statistical Methods in Platform Trials: A Systematic Review WRestimates: An R Package for Win-Ratio Sample Size and Power Calculations Randomizing With Investigator Choice of Treatment: A Powerful Pragmatic Tool in Clinical Trials Confirming assay sensitivity in 2-arm non-inferiority trial using meta-analytic-predictive approach Adding baskets to an ongoing basket trial with information borrowing: When do you benefit? Optimizing Adaptive Trial Design to Ensure Robustness Across Varying Treatment Effect Assumptions N-of-1 Trials to Estimate Individual Effects of Music on Concentration Simulation Study Examining Impact of Study Design Factors on Variability Measures Simulation-based optimization of adaptive designs using a generalized version of assurance Evaluating the impact of outcome delay on adaptive designs |
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| 2:00pm - 3:30pm |
Improving replicability in clinical biostatistics Location: Biozentrum U1.111 Questionable Research Practices - From Small Errors to Research Misconduct Improving the replicability of applied and methodological research Method benchmarking in computational biology - current state and future perspectives Software sensitivity analysis in medical and methodological research |
Randomization and analysis of clinical trials Location: Biozentrum U1.131 Distributive randomization: a pragmatic design to evaluate multiple simultaneous interventions in a clinical trial Forced Randomisation – a powerful, sometimes controversial, tool for multi-centre RCTs Type I error rate control in adaptive platform trials when including non-concurrent controls in the presence of time trend Data-driven controlled subgroup selection in clinical trials Debunking the myth: Random block sizes do not decrease selection biases in open-label clinical trials |
Survival analysis 2 Location: Biozentrum U1.141 A framework for estimating, investigating and using the correlation between multiple time-to-event endpoints in a group sequential trial Likelihood adaptively incorporated external aggregate information with uncertainty for survival data A new statistical test to compare probability of being in response (PBR) with application to a study in oncology One-sample survival tests for non-proportional hazards in oncology clinical trials Efficiency of Nonparametric Superiority Tests Based on Restricted Mean Survival Time Versus the Logrank Test Under Proportional Hazards |
Causal inference: Mixed topics Location: Biozentrum U1.101 Establishing when to use causal machine learning for conditional average treatment effect estimation in randomised controlled trials using simulation Variable selection in Causal Survival Analysis An Overlooked Stability Property of the Risk Ratio and Its Practical Implications Introducing an open access simulated benchmarking data resource to enable assessment and neutral comparison of causal inference methods Simulating data from marginal structural models for a survival time outcome |
| Innovation in oncology dose escalation trials and beyond Location: ETH E27 Declaring Doses as Safe in Ongoing Oncology Dose-Escalation Trials: Are They Truly Safe? A Critical Assessment of Safety Criteria Guiding Phase I Dose Escalation for Modern Oncology Therapies: Tackling (Informative) Dropout with Bayesian Multi-Cycle Time-to-Event Models Potential Responses and the Order of Patient Inclusion in Early-Phase Sequential Trials. How best to allocate backfill patients in dose-finding oncology trials: a methodological review & simulation studies assessing best performance Dose optimisation in early phase oncology trials - backfill and expansion cohorts |
Missing data and imputation Location: ETH E23 Missing value imputation methods in prediction model development: a neutral comparison of approaches Assessing the Impact of Percentage of Missing Data and Imputation Methods on Youden Index Estimation Recorded Reasons of Missingness-Informed Sensitivity Analyses in Clinical Trials Adjusting for outcome reporting bias in meta-analysis: a multiple imputation approach Comparing Estimation Methods for Expected Quality of Life and Predicted Patient-Specific Trajectories in oncology: Addressing missingness/death (not) at random |
Observational/real-world data 1 Location: ETH E21 Handling informative patient monitoring in routinely-collected data used to estimate treatment effects, with application to high-frequency hospital data Target Trial Emulation to Duplicate Randomized Clinical Trials using Registry Data in Multiple Sclerosis Exploring Synthetic Control Data Quality Between Data Types in Two Case Studies: COVID-19 and Crohn’s Disease The most appropriate method for outlier detection in a clinical audit depends on the data distribution Incorporating real-world data to refine the calculation of probability of success |
Poster Exhibition: W / Wednesday posters Location: Poster Location 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. Cure models to compare aftercare monitoring schemes in pediatric cancer Comparison of treatment sequences in advanced pancreatic cancer Clinical Trials with Time-to-event-endpoint: Interim Prediction of Number of Events with Confidence Distributions A Bayesian-Informed Dose-Escalation Design for Multi-Cohort Oncology Trials with Varying Maximum Tolerated Doses Comparison of Bayesian Approaches in Single-Agent Dose-Finding Studies Evaluating the effect of different non-informative prior specifications on the Bayesian proportional odds model in randomised controlled trials Bayesian decision analysis for clinical trial design with binary outcome in the context of Ebola Virus Disease outbreak – Simulation study Relevance of Electronic Medical Records for Clinical Trial Eligibility: A Feasibility Assessment in Acute Stroke Studies Navigating complex and computationally demanding clinical trial simulation Transforming Clinical Trials: The Power of Synthetic Data in Augmenting Control Arms Integrating stakeholder perspectives in modeling routine data for therapeutic decision-making Aligning Synthetic Trajectories from Expert-Based Models with Real Patient Data Using Low-Dimensional Representations Integrating semantic information in care pathway studies with medical code embeddings, application to the case of Amyotrophic Lateral Sclerosis Inequalities in impact of respiratory viruses: development and analysis of respiratory virus phenotypes in EHRs from England using OpenSAFELY Modeling Longitudinal Clinical Outcomes: Comparison of Generalized Linear Models, Generalized Estimating Equations, and Marginalized Multilevel Models in Pediatric Intensive Care Modelling the costeffectiveness of Truvada for the Prevention of Mother to Child Prevention (PMTCT) of Hepatitis B Virus in Botswana Application of machine learning methods for the analysis of randomised controlled trials: A systematic review Joint longitudinal modelling of non-normally distributed outcomes and endogenous covariates Mediation analysis for exploring gender differences in mortality among acute myocardial infarction Bivariate random-effects models for the meta-analysis of rare events Time-varying Decomposition of Direct and Indirect Effects with Multiple Longitudinal Mediators Causal framework for analyzing mediation effects of clinical biomarkers A Modified Doubly Robust Estimator for Clustered Causal Inference: Integrating GLMM and GBM DoubleMLDeep: Estimation of Causal Effects with Multimodal Data Causal Machine Learning Methods for Estimating Personalised Treatment Effects - Insights on validity from two large trials Challenges with subgroup analyses in individual participant data meta-analysis of randomised trials Illustration and evaluation of a causal approach to sensitivity analysis for unmeasured confounding using measured proxies with a simulation study Quantifying causal treatment effect on binary outcome in RCTs with noncompliance: estimating risk difference, risk ratio and odds ratio Blinded sample size recalculation for randomized controlled trials with analysis of covariance Variance stabilization transformation for the intraclass correlation coefficient of agreement with an application example to meta-analyses of inter-rater reliability studies Bridging Single Arm Studies with Individual Participant Data in Network Meta-Analysis of Randomized Controlled Trials: A Simulation Study Comparative Efficacy and Safety of Migraine Treatments: A Network Meta-Analysis of Clinical Outcomes Optimal standardization as an alternative to matching using propensity scores Evaluating Diagnostic Tests Against Composite Reference Standards: Quantifying and Adjusting for Bias Characteristics, Design and Statistical Methods in Platform Trials: A Systematic Review WRestimates: An R Package for Win-Ratio Sample Size and Power Calculations Randomizing With Investigator Choice of Treatment: A Powerful Pragmatic Tool in Clinical Trials Confirming assay sensitivity in 2-arm non-inferiority trial using meta-analytic-predictive approach Adding baskets to an ongoing basket trial with information borrowing: When do you benefit? Optimizing Adaptive Trial Design to Ensure Robustness Across Varying Treatment Effect Assumptions N-of-1 Trials to Estimate Individual Effects of Music on Concentration Simulation Study Examining Impact of Study Design Factors on Variability Measures Simulation-based optimization of adaptive designs using a generalized version of assurance Evaluating the impact of outcome delay on adaptive designs |
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| 3:30pm - 4:00pm |
Coffee Break |
Poster Exhibition: W / Wednesday posters Location: Poster Location 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. Cure models to compare aftercare monitoring schemes in pediatric cancer Comparison of treatment sequences in advanced pancreatic cancer Clinical Trials with Time-to-event-endpoint: Interim Prediction of Number of Events with Confidence Distributions A Bayesian-Informed Dose-Escalation Design for Multi-Cohort Oncology Trials with Varying Maximum Tolerated Doses Comparison of Bayesian Approaches in Single-Agent Dose-Finding Studies Evaluating the effect of different non-informative prior specifications on the Bayesian proportional odds model in randomised controlled trials Bayesian decision analysis for clinical trial design with binary outcome in the context of Ebola Virus Disease outbreak – Simulation study Relevance of Electronic Medical Records for Clinical Trial Eligibility: A Feasibility Assessment in Acute Stroke Studies Navigating complex and computationally demanding clinical trial simulation Transforming Clinical Trials: The Power of Synthetic Data in Augmenting Control Arms Integrating stakeholder perspectives in modeling routine data for therapeutic decision-making Aligning Synthetic Trajectories from Expert-Based Models with Real Patient Data Using Low-Dimensional Representations Integrating semantic information in care pathway studies with medical code embeddings, application to the case of Amyotrophic Lateral Sclerosis Inequalities in impact of respiratory viruses: development and analysis of respiratory virus phenotypes in EHRs from England using OpenSAFELY Modeling Longitudinal Clinical Outcomes: Comparison of Generalized Linear Models, Generalized Estimating Equations, and Marginalized Multilevel Models in Pediatric Intensive Care Modelling the costeffectiveness of Truvada for the Prevention of Mother to Child Prevention (PMTCT) of Hepatitis B Virus in Botswana Application of machine learning methods for the analysis of randomised controlled trials: A systematic review Joint longitudinal modelling of non-normally distributed outcomes and endogenous covariates Mediation analysis for exploring gender differences in mortality among acute myocardial infarction Bivariate random-effects models for the meta-analysis of rare events Time-varying Decomposition of Direct and Indirect Effects with Multiple Longitudinal Mediators Causal framework for analyzing mediation effects of clinical biomarkers A Modified Doubly Robust Estimator for Clustered Causal Inference: Integrating GLMM and GBM DoubleMLDeep: Estimation of Causal Effects with Multimodal Data Causal Machine Learning Methods for Estimating Personalised Treatment Effects - Insights on validity from two large trials Challenges with subgroup analyses in individual participant data meta-analysis of randomised trials Illustration and evaluation of a causal approach to sensitivity analysis for unmeasured confounding using measured proxies with a simulation study Quantifying causal treatment effect on binary outcome in RCTs with noncompliance: estimating risk difference, risk ratio and odds ratio Blinded sample size recalculation for randomized controlled trials with analysis of covariance Variance stabilization transformation for the intraclass correlation coefficient of agreement with an application example to meta-analyses of inter-rater reliability studies Bridging Single Arm Studies with Individual Participant Data in Network Meta-Analysis of Randomized Controlled Trials: A Simulation Study Comparative Efficacy and Safety of Migraine Treatments: A Network Meta-Analysis of Clinical Outcomes Optimal standardization as an alternative to matching using propensity scores Evaluating Diagnostic Tests Against Composite Reference Standards: Quantifying and Adjusting for Bias Characteristics, Design and Statistical Methods in Platform Trials: A Systematic Review WRestimates: An R Package for Win-Ratio Sample Size and Power Calculations Randomizing With Investigator Choice of Treatment: A Powerful Pragmatic Tool in Clinical Trials Confirming assay sensitivity in 2-arm non-inferiority trial using meta-analytic-predictive approach Adding baskets to an ongoing basket trial with information borrowing: When do you benefit? Optimizing Adaptive Trial Design to Ensure Robustness Across Varying Treatment Effect Assumptions N-of-1 Trials to Estimate Individual Effects of Music on Concentration Simulation Study Examining Impact of Study Design Factors on Variability Measures Simulation-based optimization of adaptive designs using a generalized version of assurance Evaluating the impact of outcome delay on adaptive designs |
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| 4:00pm - 5:30pm |
Generative AI in clinical research and drug development (BBS invited session) Location: Biozentrum U1.111 Generative Scientific Machine Learning for Advancement of Pharmacokinetic Modeling (Generative) AI in medicine: Where does statistics come into play? Do Single-Cell Transformers Understand Gene Regulation? A Cautionary Benchmark |
Efficient use of interim analyses in clinical trials Location: Biozentrum U1.131 Innovative clinical trial approach for evaluating digital medical devices under European fast-track regulatory frameworks Using only an early outcome for interim decisions regarding treatment effect on a long-term endpoint: a practical implementation Calibrated Risk-Scale: A Proposed Futility Design Framework to Enhance Portfolio-Level Profitability and Performance Interim analysis under treatment effect heterogeneity When to Schedule the Interim Analysis in the Presence of Missing Data? |
Survival analysis 3 Location: Biozentrum U1.141 Estimating the new event-free survival Marginal Matched Pairs Cox Regression Using Restricted Mean Survival Time under proportional hazards in a non-inferiority randomised trial with time-to-event outcome Variable selection methodology for illness-death model with interval censored data Modelling the time-varying effect of hormonal treatment on metastasis-free survival among ER+ breast cancer patients - a natural history modelling approach |
Causal inference in time-varying settings Location: Biozentrum U1.101 The causal effect of gold standard midwifery staffing on the occurrence of spontaneous vaginal births – A target trial emulation A new encoding of time-varying treatment regimes for the study of sequential per-protocol effects Optimal sequential decision-making with initiation regimes Evaluating the effect of lung transplantation: a case study in sequential emulated trials with time varying confounding Unraveling time-varying causal effects of multiple exposures: a novel approach integrating Functional Data analysis into the multivariable Mendelian Randomization framework |
| Prediction / prognostic modelling 4 Location: ETH E27 Adapting existing sample size calculations for developing risk prediction models to control for model stability Optimal Methods for Handling Continuous Predictors in Clinical Prediction Model Development: Balancing Flexibility and Stability Do Stable Performance Metrics Guarantee Stable Model Predictions? The Imbalance Dilemma: Can Class Imbalance Corrections Stabilize Clinical Prediction Models? Prediction with Logistic Regression in Binary Class Imbalance: comparing re-sampling techniques with threshold probability assignment under varying predictive covariates |
Meta-analysis 3 Location: ETH E23 Meta-Analysis of Time-to-Event Outcomes with Non-Proportional Hazards - A Time-Varying Hazard Ratio Approach Flexing the Curve: Comparing Spline and Fractional Polynomial Models in Network Meta-Analysis of Survival Outcomes Fixed and random effect meta-analysis for competing risks: a how-to guide for aggregated and individual participant data The transmission blocking activity of artemisinin-combination, non-artemisinin, and 8-aminoquinoline antimalarial therapies: a network meta-analysis. Meta-analysis of diagnostic test accuracy with multiple disease states: combining stage-specific accuracy data with descriptive statistics |
Observational/real-world data 2 Location: ETH E21 Group measurement invariance assessment with item-level latent variable models: A comparative simulation study of two methods Linkage of HIV treatment and population-based surveillance records in rural South Africa Investigating Statistical Inference for Consistency, Heterogeneity and Efficacy of Federated Learning Models: Insights from a Mega-Simulation of Real-World Data Characterizing Medication Timelines in Huntington’s Disease: A Cluster-Based Analysis of Treatment Patterns Testing the Similarity of Healthcare Pathways based on Transition Probabilities - A New Bootstrap Procedure |
Poster Exhibition: W / Wednesday posters Location: Poster Location 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. Cure models to compare aftercare monitoring schemes in pediatric cancer Comparison of treatment sequences in advanced pancreatic cancer Clinical Trials with Time-to-event-endpoint: Interim Prediction of Number of Events with Confidence Distributions A Bayesian-Informed Dose-Escalation Design for Multi-Cohort Oncology Trials with Varying Maximum Tolerated Doses Comparison of Bayesian Approaches in Single-Agent Dose-Finding Studies Evaluating the effect of different non-informative prior specifications on the Bayesian proportional odds model in randomised controlled trials Bayesian decision analysis for clinical trial design with binary outcome in the context of Ebola Virus Disease outbreak – Simulation study Relevance of Electronic Medical Records for Clinical Trial Eligibility: A Feasibility Assessment in Acute Stroke Studies Navigating complex and computationally demanding clinical trial simulation Transforming Clinical Trials: The Power of Synthetic Data in Augmenting Control Arms Integrating stakeholder perspectives in modeling routine data for therapeutic decision-making Aligning Synthetic Trajectories from Expert-Based Models with Real Patient Data Using Low-Dimensional Representations Integrating semantic information in care pathway studies with medical code embeddings, application to the case of Amyotrophic Lateral Sclerosis Inequalities in impact of respiratory viruses: development and analysis of respiratory virus phenotypes in EHRs from England using OpenSAFELY Modeling Longitudinal Clinical Outcomes: Comparison of Generalized Linear Models, Generalized Estimating Equations, and Marginalized Multilevel Models in Pediatric Intensive Care Modelling the costeffectiveness of Truvada for the Prevention of Mother to Child Prevention (PMTCT) of Hepatitis B Virus in Botswana Application of machine learning methods for the analysis of randomised controlled trials: A systematic review Joint longitudinal modelling of non-normally distributed outcomes and endogenous covariates Mediation analysis for exploring gender differences in mortality among acute myocardial infarction Bivariate random-effects models for the meta-analysis of rare events Time-varying Decomposition of Direct and Indirect Effects with Multiple Longitudinal Mediators Causal framework for analyzing mediation effects of clinical biomarkers A Modified Doubly Robust Estimator for Clustered Causal Inference: Integrating GLMM and GBM DoubleMLDeep: Estimation of Causal Effects with Multimodal Data Causal Machine Learning Methods for Estimating Personalised Treatment Effects - Insights on validity from two large trials Challenges with subgroup analyses in individual participant data meta-analysis of randomised trials Illustration and evaluation of a causal approach to sensitivity analysis for unmeasured confounding using measured proxies with a simulation study Quantifying causal treatment effect on binary outcome in RCTs with noncompliance: estimating risk difference, risk ratio and odds ratio Blinded sample size recalculation for randomized controlled trials with analysis of covariance Variance stabilization transformation for the intraclass correlation coefficient of agreement with an application example to meta-analyses of inter-rater reliability studies Bridging Single Arm Studies with Individual Participant Data in Network Meta-Analysis of Randomized Controlled Trials: A Simulation Study Comparative Efficacy and Safety of Migraine Treatments: A Network Meta-Analysis of Clinical Outcomes Optimal standardization as an alternative to matching using propensity scores Evaluating Diagnostic Tests Against Composite Reference Standards: Quantifying and Adjusting for Bias Characteristics, Design and Statistical Methods in Platform Trials: A Systematic Review WRestimates: An R Package for Win-Ratio Sample Size and Power Calculations Randomizing With Investigator Choice of Treatment: A Powerful Pragmatic Tool in Clinical Trials Confirming assay sensitivity in 2-arm non-inferiority trial using meta-analytic-predictive approach Adding baskets to an ongoing basket trial with information borrowing: When do you benefit? Optimizing Adaptive Trial Design to Ensure Robustness Across Varying Treatment Effect Assumptions N-of-1 Trials to Estimate Individual Effects of Music on Concentration Simulation Study Examining Impact of Study Design Factors on Variability Measures Simulation-based optimization of adaptive designs using a generalized version of assurance Evaluating the impact of outcome delay on adaptive designs |
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| 6:00pm - 11:00pm |
Conference Dinner |
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