Jörg Rahnenführer (TG9): Statistical and machine learning techniques: relative advantages and weaknesses for prediction with high-dimensional data

Veronika Deffner and Michael Wallace (TG4): Video and Shiny app about principles of measurement error effects

Recording of Michael Wallace's talk: https://www.youtube.com/watch?v=TNpmbKXNHRM Not to be shared publicly - it contains a 'work in progress' demonstration of the first TG4 video!

Pamela Shaw, Kim Luijken, Ingeborg Waernbaum, Anne-Laure Boulesteix : Open Science

Carsten Oliver Schmidt: Data Quality Assessment; https://dfg-qa.ship-med.uni-greifswald.de/

- Facilitating harmonized data quality assessments. A data quality framework for observational health research data collections with software implementations in R

- Data quality monitoring in clinical and observational epidemiologic studies: the role of metadata and process information

Willi Sauerbrei: Summary and next steps