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SEMIPARAMETRIC ADDITIVE RISKS REGRESSION FOR TWO-STAGE DESIGN SURVIVAL STUDIES

In this article we study a semiparametric additive risks model (McKeague and Sasieni (1994)) for two-stage design survival data where accurate information is available only on second stage subjects, a subset of the first stage study. We derive two-stage estimators by combining data from both stages....

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Autors principals: Li, Gang, Wu, Tong Tong
Format: Artigo
Idioma:Inglês
Publicat: 2010
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC3175231/
https://ncbi.nlm.nih.gov/pubmed/21931467
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