ISCB 41, Krakow, Poland

August 23 - 27, 2020 in Krakow, Poland

ISCB 2020

Invited Session 'Progress in providing analytic guidance for observational studies - the STRATOS initiative' (virtual meeting, August 25, 2:50 - 4:20 pm UK time)

Organized by Laurence Freedman and Willi Sauerbrei

Speakers and Titles:

1. Saskia Le Cessie, Leiden University, The Netherlands

'Bridging the gap between causal inference and survival analysis: a censored edition'

2. Georg Heinze, Medical University of Vienna, Austria and Marianne Huebner, Michigan State University, US

'Regression without regrets: data screening is needed before modeling'

3. Jörg Rahnenführer, Technische Universität Dortmund, Germany

'Statistical and machine learning techniques: Which help in patient care and medical research?'

 

Mini-Symposium 'STRATOS initiative - more on guidance for analysis of observational studies'

Organized by Georg Heinze and Willi Sauerbrei

Speakers and Titles:

1. Georg Heinze, Medical University of Vienna, Austria

'STRATOS initiative – more on guidance for analysis of observational studies'

2. Willi Sauerbrei, University of Freiburg, Germany

'Outstanding issues in selection of variables and functional forms in multivariable analysis'

3. Ben van Calster, KU Leuven, Belgium and LUMC Leiden, The Netherlands

'Calibration of risk prediction models: making decisions with the lights on or off?'

4. Helmut Kuechenhoff and Veronika Deffner, LMU Munich, Germany

'Measurement error and misclassification of variables in observational epidemiology - an overview'

5. Maja Pohar Perme, University of Ljubljana, Slovenia

'Analysis of time-to-event for observational studies: Guidance to the use of intensity models'

6. James Carpenter, London School of Hygiene and Tropical Medicine, UK and Katherine Lee, Murdoch Childrens Research Institute, Melbourne, Australia

'Framework for the Treatment And Reporting of Missing data in Observational Studies: The TARMOS framework'

7. Anne-Laure Boulesteix, LMU Munich, Germany

'A replication crisis in methodological research? On the design of comparison studies'