Semiparametric copula method for semi-competing risks data subject to interval censoring and left truncation: Application to disability in elderly.

Sun, Tao; Li, Yunlong; Xiao, Zhengyan; Ding, Ying; Wang, Xiaojun

Sun, Tao; Li, Yunlong; Xiao, Zhengyan; Ding, Ying; Wang, Xiaojun.

Afiliación

Sun T; Center for Applied Statistics and School of Statistics, Renmin University of China, Beijing, China.
Li Y; Center for Applied Statistics and School of Statistics, Renmin University of China, Beijing, China.
Xiao Z; Center for Applied Statistics and School of Statistics, Renmin University of China, Beijing, China.
Ding Y; Department of Biostatistics, University of Pittsburgh, PA, USA.
Wang X; Center for Applied Statistics and School of Statistics, Renmin University of China, Beijing, China.

Stat Methods Med Res ; 32(4): 656-670, 2023 04.

Article en En | MEDLINE | ID: mdl-36735020

Asunto(s)

Modelos Estadísticos; Humanos; Anciano; Simulación por Computador; Funciones de Verosimilitud; Modelos de Riesgos Proporcionales

Palabras clave

Copula; cumulative incidence function; disability in elderly; interval censoring; left truncation; semi-competing risks; semiparametric transformation model

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Modelos Estadísticos Tipo de estudio: Etiology_studies / Risk_factors_studies Límite: Aged / Humans Idioma: En Revista: Stat Methods Med Res Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

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