Credibility of Biostatistical Methods

The credibility of biostatistical methods, both frequentist and Bayesian, relies on several assumptions that influence statistical inference and policy decisions. Our research group aims to assess this credibility, using mathematical derivations, formal measures for credibility quantification, Monte Carlo simulations, reproducible dynamic reports, and data from collaborations. We also develop open-source software for offline and interactive online use, supporting scientific progress worldwide.

Head: M. Roos (E-Mail)