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A universal procedure for parametric frailty models
Gu, MG; Sun, LQ; Huang, CQ
2004
Source PublicationJOURNAL OF STATISTICAL COMPUTATION AND SIMULATION
ISSN0094-9655
Volume74Issue:1Pages:1-13
AbstractA profile likelihood approach is used to derive a universal procedure for survival models with general parametric frailty distributions. An efficient algorithm based on Markov chain Monte Carlo stochastic approximation is proposed to solve the resulting estimating equations. Simulation studies show that the proposed procedure works well and gives accurate estimates. We also illustrate the method with applications to two data sets that have been analyzed in many recent works on frailty models.
Keywordcensored survival data frailty models general parameter families Markov chain Monte Carlo methods stochastic approximation
DOI10.1080/0094965031000097304
Language英语
WOS Research AreaComputer Science ; Mathematics
WOS SubjectComputer Science, Interdisciplinary Applications ; Statistics & Probability
WOS IDWOS:000186682400001
PublisherTAYLOR & FRANCIS LTD
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Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/921
Collection应用数学研究所
Corresponding AuthorGu, MG
Affiliation1.Chinese Univ Hong Kong, Dept Stat, Hong Kong, Hong Kong, Peoples R China
2.Chinese Acad Sci, Acad Math & Syst Sci, Inst Appl Math, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Gu, MG,Sun, LQ,Huang, CQ. A universal procedure for parametric frailty models[J]. JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION,2004,74(1):1-13.
APA Gu, MG,Sun, LQ,&Huang, CQ.(2004).A universal procedure for parametric frailty models.JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION,74(1),1-13.
MLA Gu, MG,et al."A universal procedure for parametric frailty models".JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION 74.1(2004):1-13.
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