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Analysis of Heart Transplant Survival Data Using Generalized Additive Models

The Stanford Heart Transplant data were collected to model survival in patients using penalized smoothing splines for covariates whose values change over the course of the study. The basic idea of the present study is to use a logistic regression model and a generalized additive model with B-splines...

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Detalles Bibliográficos
Autores principales:	Tsujitani, Masaaki, Tanaka, Yusuke
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi Publishing Corporation 2013
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3676996/ https://www.ncbi.nlm.nih.gov/pubmed/23762190 http://dx.doi.org/10.1155/2013/609857

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