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Common Methods for Handling Missing Data in Marginal Structural Models: What Works and Why. (2021)

First Author: Leyrat C

Attributed to: HMD: Missing data in propensity score analyses of Electronic Health Records Data funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1093/aje/kwaa225

PubMed Identifier: 33057574

Publication URI: http://europepmc.org/abstract/MED/33057574

Type: Journal Article/Review

Volume: 190

Parent Publication: American journal of epidemiology

Issue: 4

ISSN: 0002-9262