research
∙
02/28/2023
Combining randomized and non-randomized data to predict heterogeneous effects of competing treatments
Some patients benefit from a treatment while others may do so less or do...
share
research
∙
01/12/2023
Multiple imputation of incomplete multilevel data using Heckman selection models
Missing data is a common problem in medical research, and is commonly ad...
research
∙
07/20/2022
Journal Impact Factor and Peer Review Thoroughness and Helpfulness: A Supervised Machine Learning Study
The journal impact factor (JIF) is often equated with journal quality an...
research
∙
05/14/2021
Development, validation and clinical usefulness of a prognostic model for relapse in relapsing-remitting multiple sclerosis
Prognosis on the occurrence of relapses in individuals with Relapsing-Re...
research
∙
02/19/2021
Rethinking the Funding Line at the Swiss National Science Foundation: Bayesian Ranking and Lottery
Funding agencies rely on peer review and expert panels to select the res...
research
∙
10/20/2020
Introducing the treatment hierarchy question in network meta-analysis
Background: Comparative effectiveness research using network meta-analys...
research
∙
04/28/2020
A two-stage prediction model for heterogeneous effects of many treatment options: application to drugs for Multiple Sclerosis
Treatment effects vary across different patients and estimation of this ...
research
∙
04/27/2020