Hazard Regression
作者:
Charles Kooperberg,
CharlesJ. Stone,
YoungK. Truong,
期刊:
Journal of the American Statistical Association
(Taylor Available online 1995)
卷期:
Volume 90,
issue 429
页码: 78-94
ISSN:0162-1459
年代: 1995
DOI:10.1080/01621459.1995.10476491
出版商: Taylor & Francis Group
关键词: Conditional hazard function;Interactions;Model selection;Proportional hazards model;Splines;Time-varying coefficients
数据来源: Taylor
摘要:
Linear splines and their tensor products are used to estimate the conditional log-hazard function based on possibly censored, positive response data and one or more covariates. An automatic procedure involving the maximum likelihood method, stepwise addition, stepwise deletion, and the Bayes Information Criterion is used to select the final model. The possible models contain proportional hazards models as a subclass, which makes it possible to diagnose departures from proportionality. Cubic splines and two additional log terms are incorporated into a similar model for the unconditional log-hazard function to allow for greater flexibility in the extreme tails. A user interface based on S is described.
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