Literature DB >> 21969989

Comment: Analyzing propensity score matched count data.

Liang Li1.   

Abstract

We offer an explanation to the simulation result of Austin (2009) regarding rate ratios, and argue that unmatched analysis of propensity score matched count data results in conservative statistical inferences on the rate ratios.

Mesh：

Year:  2010        PMID： 21969989     DOI： 10.2202/1557-4679.1214

Source DB:  PubMed          Journal:  Int J Biostat        ISSN： 1557-4679            Impact factor:   0.968


  2 in total

1.  Analyzing Propensity Matched Zero-Inflated Count Outcomes in Observational Studies.

Authors:  Stacia M Desantis; Christos Lazaridis; Shuang Ji; Francis G Spinale
Journal:  J Appl Stat       Date:  2014-01-01       Impact factor: 1.404

2.  Clinical and economic outcomes in an observational study of COPD maintenance therapies: multivariable regression versus propensity score matching.

Authors:  Melissa H Roberts; Anand A Dalal
Journal:  Int J Chron Obstruct Pulmon Dis       Date:  2012-03-22
  2 in total

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