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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 more closely resemble the distribution of effect-modifying covariates i
Externí odkaz:
http://arxiv.org/abs/2405.04419
Autor:
Rott, Kollin W., Bronfort, Gert, Chu, Haitao, Huling, Jared D., Leininger, Brent, Murad, Mohammad Hassan, Wang, Zhen, Hodges, James S.
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 whom the results apply and it is not clear how to use their results to as
Externí odkaz:
http://arxiv.org/abs/2302.07840
Recent work has made important contributions in the development of causally-interpretable meta-analysis. These methods transport treatment effects estimated in a collection of randomized trials to a target population of interest. Ideally, estimates t
Externí odkaz:
http://arxiv.org/abs/2302.03544