Using inverse probability-weighted estimators in comparative effectiveness analyses with observational databases.

Published

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

Pubmed Central ID

  • 17909367

International Standard Serial Number (ISSN)

  • 0025-7079

Digital Object Identifier (DOI)

  • 10.1097/MLR.0b013e31806518ac

Language

  • eng

Conference Location

  • United States