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. Copyright © 2007 by Lippincott Williams & Wilkins.

Duke Authors

Cited Authors

  • Curtis, LH; Hammill, BG; Eisenstein, EL; Kramer, JM; Anstrom, KJ

Published Date

  • October 1, 2007

Published In

Volume / Issue

  • 45 / 10 SUPPL. 2

Electronic International Standard Serial Number (EISSN)

  • 1537-1948

International Standard Serial Number (ISSN)

  • 0025-7079

Citation Source

  • Scopus