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Analysis of Heart Transplant Survival Data Using Generalized Additive Models
Joint Authors
Tanaka, Yusuke
Tsujitani, Masaaki
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-05-23
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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 to estimate the survival function.
We model survival time as a function of patient covariates and transplant status and compare the results obtained using smoothing spline, partial logistic, Cox's proportional hazards, and piecewise exponential models.
American Psychological Association (APA)
Tsujitani, Masaaki& Tanaka, Yusuke. 2013. Analysis of Heart Transplant Survival Data Using Generalized Additive Models. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-484897
Modern Language Association (MLA)
Tsujitani, Masaaki& Tanaka, Yusuke. Analysis of Heart Transplant Survival Data Using Generalized Additive Models. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-484897
American Medical Association (AMA)
Tsujitani, Masaaki& Tanaka, Yusuke. Analysis of Heart Transplant Survival Data Using Generalized Additive Models. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-484897
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-484897