3 papers
stat.ME2024
Transportability of Principal Causal Effects
Justin M. Clark, Kollin W. Rott, James S. Hodges +1
Recent research in causal inference has made important progress in addressing challenges to the external validity of trial findings. Such methods weight trial participant data to m…
stat.ME2023
Causally-interpretable meta-analysis: clearly-defined causal effects and two case studies
Kollin W. Rott, Gert Bronfort, Haitao Chu +5
Meta-analysis is commonly used to combine results from multiple clinical trials, but traditional meta-analysis methods do not refer explicitly to a population of individuals to who…
stat.ME2023
Causally-Interpretable Random-Effects Meta-Analysis
Justin M. Clark, Kollin W. Rott, James S. Hodges +1
Recent work has made important contributions in the development of causally-interpretable meta-analysis. These methods transport treatment effects estimated in a collection of rand…