Literature DB >> 17909367

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

Lesley H Curtis1, Bradley G Hammill, Eric L Eisenstein, Judith M Kramer, Kevin J Anstrom.   

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.

Mesh：

Year:  2007        PMID： 17909367     DOI： 10.1097/MLR.0b013e31806518ac

Source DB:  PubMed          Journal:  Med Care        ISSN： 0025-7079            Impact factor:   2.983


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