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 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). During my PhD programme, I visited the Biostatistics team at the TIMI Study Group at Brigham and Women's Hospital / Harvard Medical School in Boston, USA for six months. In collaboration with Andrea Bellavia, PhD, and Sabina Murphy, MPH, we applied and evaluated statistical approaches for missing data in clinical trials. Recently, I also visited the Department of Medical Statistics at the University of Göttingen, performing post-hoc analysis on a recent heart failure trial in Germany.

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)