ISCB 47, Freiburg, Germany

STRATOS mini-symposium at ISCB 47, Sept. 27-Oct. 01, 2026, Freiburg, Germany

Mini-Syposium: Application of statistical methods needs to improve – on the critical role of guidance for analysis and knowledge translation (Program & Program Abstract)

 

Date: Thursday, 1 October, 2026

Organizers: Anne-Laure Boulesteix, Georg Heinze, Willi Sauerbrei

 

Session 1: 9:00-10:30 and 11:00–12:30: Methodological Aspects

Session 1A: 9-00-10:30

Chair: Willi Sauerbrei (Freiburg, Germany)

9:00-9:10: Willi Sauerbrei (Freiburg, Germany): Introduction

9:10-9.35: James R. Carpenter (London, UK): P-values and hypothesis testing: beyond polemics to practical solutions

9:35-10:00: Michal Abrahamowicz (Montreal, Canada): How important are the Hazards of Hazard Ratios?

10:00-10:25: Anne C. M. Thiébaut (Villejuif, France): Methods for Adjusting for Covariate Measurement Error in Flexible Modelling of Functional Form: Results of a Blinded, Controlled Neutral Comparison Simulation Study

 

Session 1B: 11:00–12:30

Chair: Georg Heinze (Vienna, Austria)

11:00-11:25: Marianne Huebner (Michigan, USA): Statistical analysis plan with initial data analysis (SAPI): Validating the SAPI checklist in analysis projects

11:25-11:50: Doranne Thomassen (Leiden, the Netherlands): Comparing five frameworks that may be used to define estimands: friends not foes

11:50-12:15: Els Goetghebeur (Ghent, Belgium): Sensitivity analyses for missing data in observational studies: A practical guide for planning, conducting and reporting under MAR and beyond

12:15-12:30: Discussion 1 (Chair: Georg Heinze)

 

Session 2: 13:30 – 15:00 and 15.30–17:00: Practical Aspects of Medical Research

Session 2A: 13:30 – 15:00

Chair: Willi Sauerbrei

13:30-13:40: Willi Sauerbrei: Introduction

13:40-14:10: Gary Collins (University of Birmingham, UK): The importance of methodology and transparency in predictive AI

14:10-14:27: Riccardo De Bin (Oslo, Norway): From traditional statistical modelling to machine learning algorithms: a perspective from the STRATOS TG9 high-dimensional data viewpoint

14:27-14:44: Ben van Calster (Leuven, Belgium): Performance evaluation of predictive AI models to support medical decisions: overview and guidance

14:44-15:01: Peggy Sekula (Freiburg, Germany): Designing Prognostic Factor Studies: Key Concepts and Practical Guidance

 

Session 2B: 15.30–17:00

Chair: Anne-Laure Boulesteix (Munich, Germany)

15:30-16:00: Matthias Briel: (University Hospital Basel, Switzerland): Meta-research to improve evidence generation and synthesis

16:00-16:15: Theresa Ullmann (Vienna, Austria): The Problem with Univariable Selection in Regression Modelling — and What to Do Instead

16:15-16:30: Saskia le Cessie (Leiden, the Netherlands): Guidelines to the design, analysis and interpretation of patient-reported outcomes in cancer clinical trials

16:30-16:45: Willi Sauerbrei: An overview and categorization of papers published in statistical series of medical journals

16:45-17:00: Discussion 2 (Chair: Anne-Laure Boulesteix)