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Comparing several means of dependent populations of count—A parametric robust approach
Author(s) -
Tsou TsungShan,
Chen ChienHung
Publication year - 2007
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.3032
Subject(s) - parametric statistics , set (abstract data type) , parametric model , computer science , parametric equation , data set , semiparametric model , econometrics , mathematics , statistics , artificial intelligence , geometry , programming language
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. Copyright © 2007 John Wiley & Sons, Ltd.