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A maximum pseudo-profile likelihood estimator for the Cox model under length-biased sampling

This paper considers semiparametric estimation of the Cox proportional hazards model for right-censored and length-biased data arising from prevalent sampling. To exploit the special structure of length-biased sampling, we propose a maximum pseudo-profile likelihood estimator, which can handle time-...

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Detalles Bibliográficos
Autores principales: Huang, Chiung-Yu, Qin, Jing, Follmann, Dean A.
Formato: Artigo
Lenguaje:Inglês
Publicado: Oxford University Press 2012
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Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC3667656/
https://ncbi.nlm.nih.gov/pubmed/23843659
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biomet/asr072
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