Comparing several means of dependent populations of count - A parametric robust approach

Tsung Shan Tsou, Chien Hung Chen

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

We propose a parametric robust procedure for comparing several means of dependent populations of counts. The validity of the proposed method requires no knowledge of the true underlying joint distributions so long as they have finite second moments. The efficacy of this novel technique is demonstrated by simulations and the analysis of a data set from the Taiwan National Health Insurance Research Database. Our new parametric robust method is also compared with the popular semi-parametric generalized estimating equations approach.

Original languageEnglish
Pages (from-to)2576-2585
Number of pages10
JournalStatistics in Medicine
Volume27
Issue number14
DOIs
StatePublished - 30 Jun 2008

Keywords

  • Correlated count data
  • Multivariate negative binomial model
  • Robust score test

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