7 citations · 10 across the 3 of their papers we have counts for
3 papers
Combining randomized and non-randomized data to predict heterogeneous effects of competing treatments
Konstantina Chalkou, Tasnim Hamza, Pascal Benkert +7
Some patients benefit from a treatment while others may do so less or do not benefit at all. We have previously developed a two-stage network meta-regression prediction model that…
Multiple imputation of incomplete multilevel data using Heckman selection models
Johanna Muñoz, Matthias Egger, Orestis Efthimiou +3
Missing data is a common problem in medical research, and is commonly addressed using multiple imputation. Although traditional imputation methods allow for valid statistical infer…
Journal Impact Factor and Peer Review Thoroughness and Helpfulness: A Supervised Machine Learning Study
Anna Severin, Michaela Strinzel, Matthias Egger +4
The journal impact factor (JIF) is often equated with journal quality and the quality of the peer review of the papers submitted to the journal. We examined the association between…