𝔖 Bobbio Scriptorium
✦   LIBER   ✦

An Added Variable Goodness-of-fit Test for the Cox Proportional Hazards Model

✍ Scribed by Susanne May; David W. Hosmer


Publisher
John Wiley and Sons
Year
2004
Tongue
English
Weight
99 KB
Volume
46
Category
Article
ISSN
0323-3847

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


AN EMPIRICAL COMPARISON OF STATISTICAL T
✍ NICHOLAS H. NG'ANDU πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 353 KB πŸ‘ 2 views

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

A Comparison Between Several Goodness of
✍ Dr. N. J. D. Nagelkerke; J. Oosting; A. A. M. Hart πŸ“‚ Article πŸ“… 1986 πŸ› John Wiley and Sons 🌐 English βš– 215 KB πŸ‘ 1 views

A comparison is made between two approaches to testing goodness of fit of Cox's regression model for survival data. The first approach is based on the inclusion of time dependent covariates, whereas the second one is based on the autocovariance of successive contributions to the derivative of the lo

Applying the Cox proportional hazards mo
✍ William B. Goggins; Dianne M. Finkelstein; Alan M. Zaslavsky πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 116 KB πŸ‘ 2 views

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.