An asymptotic theory for the nonparametric maximum likelihood estimator in the Cox gene model

DOI10.3150/bj/1130077598zbMath1085.62052OpenAlexW2081265290MaRDI QIDQ817976

Chi-Chung Wen, Mei-Chuan Wang, Chao A. Hsiung, I.-Shou Chang

Publication date: 23 March 2006

Published in: Bernoulli (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3150/bj/1130077598

zbMATH Keywords

asymptotic normalityidentifiabilityage at onsetdiscrete frailty modelprofile likelihodd information

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Genetics and epigenetics (92D10)

Related Items

Analysis of a semiparametric mixture model for competing risks, On proportional hazards assumption under the random effects models, Maximum likelihood estimation in a partially observed stratified regression model with censored data, Penalized full likelihood approach to variable selection for Cox's regression model under nested case-control sampling

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