Two-stage matching-adjusted indirect comparison.

ABSTRACT:

Background

Anchored covariate-adjusted indirect comparisons inform reimbursement decisions where there are no head-to-head trials between the treatments of interest, there is a common comparator arm shared by the studies, and there are patient-level data limitations. Matching-adjusted indirect comparison (MAIC), based on propensity score weighting, is the most widely used covariate-adjusted indirect comparison method in health technology assessment. MAIC has poor precision and is inefficient when the effective sample size after weighting is small.

Methods

A modular extension to MAIC, termed two-stage matching-adjusted indirect comparison (2SMAIC), is proposed. This uses two parametric models. One estimates the treatment assignment mechanism in the study with individual patie

SUBMITTER: Remiro-Azocar A 

PROVIDER: S-EPMC9358807 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature