Personalized Risk Prediction for Cancer Survivors: A Bayesian Semi-parametric Recurrent Event Model with Competing Outcomes.

Nguyen, Nam H; Shin, Seung Jun; Dodd-Eaton, Elissa B; Ning, Jing; Wang, Wenyi

Nguyen, Nam H; Shin, Seung Jun; Dodd-Eaton, Elissa B; Ning, Jing; Wang, Wenyi.

Afiliación

Nguyen NH; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX.
Shin SJ; Department of Statistics, Rice University, Houston, TX.
Dodd-Eaton EB; Department of Statistics, Korea University, Seoul, Korea.
Ning J; Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX.
Wang W; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX.

bioRxiv ; 2023 Mar 06.

Article en En | MEDLINE | ID: mdl-36909464

Palabras clave

Cancer survivors; Competing risk; Frailty modeling; Markov chain Monte Carlo; Personalized risk prediction; Recurrent event

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: BioRxiv Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos

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