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A General Class of Semiparametric Transformation Frailty Models for Non-proportional Hazards Survival Data

We propose a semiparametrically efficient estimation of a broad class of transformation regression models for non-proportional hazards data. Classical transformation models are to be viewed from a frailty model paradigm, and the proposed method provides a unified approach that is valid for both cont...

詳細記述

保存先:
書誌詳細
主要な著者: Choi, Sangbum, Huang, Xuelin
フォーマット: Artigo
言語:Inglês
出版事項: 2012
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3530665/
https://ncbi.nlm.nih.gov/pubmed/23005582
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2012.01784.x
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