research
∙
07/01/2023
Bootstrapping the Cross-Validation Estimate
Cross-validation is a widely used technique for evaluating the performan...
share
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...
research
∙
03/12/2022
Synthesizing cross-design evidence and cross-format data using network meta-regression
In network meta-analysis (NMA), we synthesize all relevant evidence abou...
research
∙
02/04/2022
Decision curve analysis for personalized treatment choice between multiple options
Decision curve analysis can be used to determine whether a personalized ...
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
∙
12/15/2019