Equivalence of entropy balancing and the method of moments for matching-adjusted indirect comparison.
Ontology highlight
ABSTRACT: Indirect comparisons are used to obtain estimates of relative effectiveness between two treatments that have not been compared in the same randomized controlled trial, but have instead been compared against a common comparator in separate trials. Standard indirect comparisons use only aggregate data, under the assumption that there are no differences in effect-modifying variables between the trial populations. Population-adjusted indirect comparisons aim to relax this assumption by using individual patient data (IPD) from one trial to adjust for differences in effect modifiers between populations. At present, the most commonly used approach is matching-adjusted indirect comparison (MAIC), where weights are estimated that match the covariate distributions of the reweighted IPD to the aggreg
SUBMITTER: Phillippo DM
PROVIDER: S-EPMC7384548 | biostudies-literature | 2020 Jul
REPOSITORIES: biostudies-literature
ACCESS DATA