Sept 16-20, 2024 3rd STRATOS workshop in Leiden (the Netherlands)

'STRATOS accelerated guidance for real world data analysis'

We thank our sponsors for supporting this workshop!

4 Key Themes

1. Combining Machine Learning with Statistical Methods

Stijn Vansteelandt (Ghent University, BE) ‘Causal machine learning’ 

Maarten Van Smeden (UMC Utrecht, NL) ‘Predictive machine learning’ 

Discussant Lisa McShane (National Cancer Institute, USA)

Chairs: Aris Perperoglou (GSK, UK) and Anne de Hond (UMC Utrecht, NL)

2. Estimands and time-to-event analysis

Kelly Van Lancker (Ghent University, BE) ‘Estimands in clinical studies’

Malka Gorfine (Tel Aviv University, IL) ‘Estimands in illness-death settings’ 

Nan Van Geloven (Leiden UMC, NL)‘Prediction estimands’ 

Chair: Saskia le Cessie (Leiden UMC,NL)

3. Simulating and synthesizing data for biostatistical methods development, evaluation and dissemination

Georg Heinze (Medical University of Vienna, AT) ‘Phases of methodological development in biostatistics’

Tim Morris (University College London, UK)  ‘Structured planning and reporting of simulation studies’ 

Sabine Hoffmann (LMU Munich, DE) ‘Making biomedical research data publicly available while protecting confidentiality’ 

Chair: Willi Sauerbrei (University of Freiburg, DE)

4. Developing an open-source case study dataset

Katharina Krüsselmann (Leiden University, NL) and Jim Achterberg (Leiden UMC, NL) ‘Project SENSYN: Making sensitive data reusable through synthetic data generation’‘Project SENSYN: Making sensitive data reusuable through synthetic data generation'

Jörg Drechsler (Institute for Employment Research, Nuremberg, DE) ‘Synthetic data for complex survey sampling designs – An illustration using data from the U.S. Economic Census

STRATOS discussion on case study data shared across topic groups

Chairs: Hein Putter (Leiden UMC, NL), Katherine Lee (Melbourne Children’s Trial Centre, AUS), Michael Abhrahamowicz (McGill University, Montreal, Canada)