A clustering cure rate model with application to a sealantstudy

被引：2

作者：

Gallardo, Diego I. ^{[1
]}

Bolfarine, Heleno ^{[2
]}

Pedroso-de-Lima, Atonio Carlos ^{[2
]}

机构：

[1] Univ Antofagasta, Fac Ciencias Basicas, Dept Matemat, Antofagasta, Chile

[2] Univ Sao Paulo, Inst Matemat & Estat, Sao Paulo, Brazil

来源：

JOURNAL OF APPLIED STATISTICS | 2017年 / 44卷 / 16期

关键词：

Bivariate random effects; competing risks; Dirichlet processes; EM algorithm; latent activation scheme; restricted maximum likelihood; MIXED-EFFECTS MODEL; VARIANCE-COMPONENTS; MIXTURE; LIKELIHOOD; CARCINOMA;

D O I：

10.1080/02664763.2016.1267116

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

In this paper, the destructive negative binomial (DNB) cure rate model with a latent activation scheme [V. Cancho, D. Bandyopadhyay, F. Louzada, and B. Yiqi, The DNB cure rate model with a latent activation scheme, Statistical Methodology 13 (2013b), pp. 48-68] is extended to the case where the observations are grouped into clusters. Parameter estimation is performed based on the restricted maximum likelihood approach and on a Bayesian approach based on Dirichlet process priors. An application to a real data set related to a sealant study in a dentistry experiment is considered to illustrate the performance of the proposed model.

引用

页码：2949 / 2962

页数：14

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