Recent work has shown that there may be disadvantages in the use of the chi-square-like goodness-of-fit tests for the logistic regression model proposed by Hosmer and Lemeshow that use fixed groups of the estimated probabilities. A particular concern with these grouping strategies based on estimated
A Comparison Between Several Goodness of Fit Tests for Cox's Model
โ Scribed by Dr. N. J. D. Nagelkerke; J. Oosting; A. A. M. Hart
- Publisher
- John Wiley and Sons
- Year
- 1986
- Tongue
- English
- Weight
- 215 KB
- Volume
- 28
- Category
- Article
- ISSN
- 0323-3847
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โฆ Synopsis
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 loglikelihood. It appears that the second teat is most appropriate for testing in situations where the structure of the departure from proportional hazards is not known e priori. An approximate expression for the relative efficiency of the two test procedures is presented.
๐ SIMILAR VOLUMES
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
## Summury ' We investigate the relative performances ot a class of goodneae of fit procedures for randomly censored data. For purposes of planning experiments. we quantify the loes of information induced by censorship. We evaluate efficiencies against particular altemativea of intereat in surviva