Robert Thiesmeier

I am doctoral student at the Department of Global Public Health. The aim of my doctoral project is to investigate and evaluate statistical methods for the design, analysis, and interpretation of pooling projects. In particular, I am looking at methods to handle missing data in multi-site studies and federated analyses. The project is supervised by Assoc. Prof. Nicola Orsini (Department of Global Public Health) and Prof. Scott Hofer (Aging Research Center). I recently completed a 6-month research fellowship at the TIMI Study Group at Brigham and Women's Hospital / Harvard Medical School in Boston, USA, to applying and evaluating statistical approaches for missing data in clinical trials. The visit was supervised by Andrea Bellavia, PhD and Sabina Murphy, MPH.

Simulation studies, Missing data, Multiple imputation, Federated analysis, Clinical trials, Meta-analysis, Bias-analysis

• "Biostatistics I" and "Biostatistics II" in the Master of Public Health Sciences at KI (teaching assistant).
• "Fundamentals of Stata programming" and Biostatistics II: Logstic regression for epidemiologists" in the doctoral programme for epidemiology at KI (teaching assistant). 
• Summer School of Modern Methods in Biostatistics and Epidemiology: "Logistic regression for medical research" and "Regression models for continious outcomes" (teaching assistant); "Basics of Stata" (course leader for 1-day course)