title: Comparing several means of dependent populations of count: a parametric robust approach.
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.
authors: Institute of Statistics, Institute of System Biology and Bioinformatics, National Central University, Chungli, Taiwan. tsou@mx.stat.ncu.edu.tw
authors: Tsung-Shan
authors: TS
authors: Tsou
authors: Chien-Hung
authors: CH
authors: Chen
mesh_terms: D016010:Binomial Distribution; D003627:Data Interpretation, Statistical; D006801:Humans; D007348:Insurance, Health / Q000706:statistics & numerical data; D016013:Likelihood Functions; D018709:Statistics, Nonparametric; D013624:Taiwan