  Cardinality matching is a computational method for finding the largest
possible number of matched pairs of exposed and unexposed individuals from an
observational dataset, with specified patterns of baseline characteristics that
represent a target population for analysis. This article explains the process
of cardinality matching and how it simultaneously addresses the concerns of
balance, sample size, and representativeness of matched samples in
observational studies.
