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