7 citations · 10 across the 3 of their papers we have counts for
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stat.ME2023★ 1 cited
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…
stat.ME2023★ 2 cited
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…