Applied comparison of large-scale propensity score matching and cardinality matching for causal inference in observational research.

ABSTRACT:

Background

Cardinality matching (CM), a novel matching technique, finds the largest matched sample meeting prespecified balance criteria thereby overcoming limitations of propensity score matching (PSM) associated with limited covariate overlap, which are especially pronounced in studies with small sample sizes. The current study proposes a framework for large-scale CM (LS-CM); and compares large-scale PSM (LS-PSM) and LS-CM in terms of post-match sample size, covariate balance and residual confounding at progressively smaller sample sizes.

Methods

Evaluation of LS-PSM and LS-CM within a comparative cohort study of new users of angiotensin-converting enzyme inhibitor (ACEI) and thiazide or thiazide-like diuretic monotherapy identified from a U.S. insurance claims database. C

SUBMITTER: Fortin SP 

PROVIDER: S-EPMC8146256 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature