The Cox proportional hazards model restricts the hazard ratio to be linear in the covariates. A survival model based on data from a clinical trial is developed using spline functions with variable knots to estimate the log hazard function. Moreover, the main point of the method is that a knot, seen
U Regression and Survival Analysis
β Scribed by N. J. D. Nagelkerke; F. A. Plummer
- Book ID
- 102759828
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- English
- Weight
- 501 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0323-3847
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β¦ Synopsis
Abstract
The problem of survival analysis with covariates when observations are subject to irregular interval censoring is considered. A proportional hazards model is assumed. A pseudo likelihood based on the comparison of all pairs of individuals whose survival times can be ordered, is proposed. Statistical properties of the maximum pseudo likelihood estimator and its score test are explored. Several examples are presented, one of which is an examination of the effect of covariates on HIV seroconversion.
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