05
Oct
Lecture
Replicability of Simulation Studies for the Investigation of Statistical Methods: The RepliSims Project
Kim Luijken, University Medical Center Utrecht
05.10.2023
10:00 am - 12:00 pm
LMU Munich, IBE Library and via zoom
Results of simulation studies evaluating the performance of statistical methods are often considered actionable and thus can have a major impact on the way empirical research is implemented. However, so far there is limited evidence about the reproducibility and replicability of statistical simulation studies. In the RepliSims project, we assessed replicability of eight highly cited statistical simulation studies in teams of replicators based on reported information in the original publications.
The talk will go over the lessons learned from this replication endeavor as well as the findings on replicability of the evaluated studies. The aim is to stimulate a group discussion on the concepts of 'reproducibility' and 'replicability' for statistical simulation studies.
Related
©jittawit.21 - stock.adobe.com
AI Keynote Series • 13.11.2025 • Online via Zoom
Personalized Care Through Causal & Federated Learning: From Data to Decisions
Join the lecture with Julie Josse from French National Instiute for Research in Digital Science and Technology (Inria).
Colloquium • 12.11.2025 • LMU Department of Statistics and via zoom
Causal Inference Based on Machine Learning for Complex Longitudinal Exposures
12.11.25, 4:15-5:45 pm: Iván Diaz and Herb Sussman from the New York University.