DAY 1: 8th October 2025
Pre-conference short course
https://opensource.nibr.com/bamdd/
Modern clinical trials: the challenges of small populations and novel endpoints
Nigel Stallard - Advances in statistical methods for clinical trials in rare diseases An overview
Mia Tackney - Eight Methodological Questions for Digital Outcomes Measures
Beatriz Farah - Univariate and multivariate tests of equality of quantiles with right-censored data
Alex Ocampo - Simplifying Causal Mediation Analysis for Time-to-Event Outcomes using Pseudo-Values
DAY 2: 9th October 2025
Use of external information to improve decision making (part 1)
Simon Wandel - The Good the Bad and the Ugly Experiences When Utilizing External Information in Clinical Trials
Silvia Calderazzo - Contrasting Bayesian and frequentist hypothesis testing in hybrid-control clinical trial designs
Arnab Sarkar - Assurance-guided phase 3 transition targeting binary outcomes - a Bayesian paradigm integrating internal-external evidence
Frank Kleinjung - A Novel Approach to build External Control Arms Under Presence of Missing Values
Kit Roes - Regulatory view on use of external information - Considerations from design to assessment
Modern clinical trials: multiple subgroups and multiple endpoints
Valeria Mazzanti - Subpopulation Analysis Using Graphical Approach to Recycle Alpha Between Groups Being Tested
Virginie Rondeau - Win ratio and Joint models to design clinical trials and evaluate treatment effects on hierarchical composite endpoints
Roland Matsouaka - Power and sample size calculations for the win measures
Improving statisticians‘ communication and coding skills
Fanny Chevalier - Data Insights - Bridging the Gap Between Numbers and Knowledge
Slides for SnB 2025 Keynote – Why We Need to Improve Software Engineering in Biostatistics
DAY 3: 10th October 2025
Use of external information to improve decision making (part 2)
Andrea Callegaro - Covariate-adjusted Robust Mixture Prior approach in clinical trials with historical controls
Alfredo Farjat - A Comprehensive Bayesian Dynamic Borrowing Approach for Integrating External Data in Clinical Trial Analysis
Beate Wieseler - Health Technology Assessment view on use of external information
Loading... 
