Various Practical Issues in Matching

Authors :: Paul R. Rosenbaum
Source :: Springer Series in Statistics ISBN: 9783030464042, Springer Series in Statistics ISBN: 9781441912121
Publication Year :: 2020
Publisher :: Springer International Publishing, 2020.
Abstract: Having constructed a matched control group, one must check that it is satisfactory, in the sense of balancing the observed covariates. If some covariates are not balanced, then adjustments are made to bring them into balance. Three adjustments are almost exact matching, exact matching, and the use of small penalties. Exact matching has a special role in extremely large problems, where it can be used to accelerate computation. Matching when some covariates have missing values is discussed.

Subjects :: Mathematical optimization
Mahalanobis distance
Matching (statistics)
Computer science
Matched control
Computation
Propensity score matching
Covariate
Exact matching
Missing data

ISBN :: 978-3-030-46404-2
978-1-4419-1212-1
ISBNs :: 9783030464042 and 9781441912121
Database :: OpenAIRE
Journal :: Springer Series in Statistics ISBN: 9783030464042, Springer Series in Statistics ISBN: 9781441912121
Accession number :: edsair.doi.dedup.....2e08a257d0ba080916838bbd43ab1fb3
Full Text :: https://doi.org/10.1007/978-3-030-46405-9_10