In survival analysis, Cox's regression model is often used to assess the effect of covariates on the time of failure. This semi-parametric model has been extended to the situation where more than one cause of failure is of interest. In this paper, two semi-parametric models for the analysis of compe
On pseudo-values for regression analysis in competing risks models
β Scribed by Frederik Graw; Thomas A. Gerds; Martin Schumacher
- Publisher
- Springer
- Year
- 2008
- Tongue
- English
- Weight
- 318 KB
- Volume
- 15
- Category
- Article
- ISSN
- 1380-7870
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Recently, regression analysis of the cumulative incidence function has gained interest in competing risks data analysis, through the model proposed by Fine and Gray (JASA 1999; 94: 496-509). In this note, we point out that inclusion of time-dependent covariates in this model can lead to serious bias
We propose to perform model check for the Cox and Aalen regression models using martingale residual processes grouped after the risk score. Asymptotic distributions of the grouped martingale residual processes are deduced, so both formal and graphical model check can be performed. The method is vali