Med Care. 2007 Oct;45(10 Supl 2):S103-7.

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

Curtis LH, Hammill BG, Eisenstein EL, Kramer JM, Anstrom KJ.

Source

Duke Clinical Research Institute, and Departments of Medicine, Duke University School of Medicine, Durham, North Carolina, USA. lesley.curtis@duke.edu

Abstract

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.

PMID:: 17909367; [PubMed - indexed for MEDLINE]

Publication Types, MeSH Terms, Grant Support

Publication Types

Research Support, U.S. Gov't, P.H.S.

MeSH Terms

Grant Support

3U18HS010548-07S1/HS/AHRQ HHS/United States

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