Using inverse probability-weighted estimators in comparative effectiveness analyses with observational databases.
Journal Article (Journal Article)
Inverse probability-weighted estimation is a powerful tool for use with observational data. In this article, we describe how this propensity score-based method can be used to compare the effectiveness of 2 or more treatments. First, we discuss the inherent problems in using observational data to assess comparative effectiveness. Next, we provide a conceptual explanation of inverse probability-weighted estimation and point readers to sources that address the method in more formal, technical terms. Finally, we offer detailed guidance about how to implement the estimators in comparative effectiveness analyses.
Full Text
Duke Authors
Cited Authors
- Curtis, LH; Hammill, BG; Eisenstein, EL; Kramer, JM; Anstrom, KJ
Published Date
- October 2007
Published In
Volume / Issue
- 45 / 10 Supl 2
Start / End Page
- S103 - S107
PubMed ID
- 17909367
International Standard Serial Number (ISSN)
- 0025-7079
Digital Object Identifier (DOI)
- 10.1097/MLR.0b013e31806518ac
Language
- eng
Conference Location
- United States