In the analysis of survival data using the Cox proportional hazard (PH) model, it is important to verify that the explanatory variables analysed satisfy the proportional hazard assumption of the model. This paper presents results of a simulation study that compares five test statistics to check the
Data-driven smooth tests of the proportional hazards assumption
β Scribed by David Kraus
- Publisher
- Springer
- Year
- 2006
- Tongue
- English
- Weight
- 288 KB
- Volume
- 13
- Category
- Article
- ISSN
- 1380-7870
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π SIMILAR VOLUMES
The problem of estimating a smooth quantile function, Q(.), at a fixed point p, 0 < p <: 1, is treated under a nonparametric smoothness condition on Q. The asymptotic relative deficiency of the sample quantile based on the maximum likelihood estimate of the survival function under the proportional h
The latency time of an infectious disease is de"ned as the time from infection to disease onset. This paper applies the proportional hazards model to estimate the e!ect of covariates on latency when the time of disease onset is exact or right-censored but the time of infection is interval-censored.