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Extensions and Applications of the Cox‐Aalen Survival Model
| Content Provider | Scilit |
|---|---|
| Author | Scheike, Thomas H. Zhang, Mei-Jie |
| Copyright Year | 2003 |
| Description | Journal: Biometrics Cox's regression model is the standard regression tool for survival analysis in most applications. Often, however, the model only provides a rough summary of the effect of some covariates. Therefore, if the aim is to give a detailed description of covariate effects and to consequently calculate predicted probabilities, more flexible models are needed. In another article, Scheike and Zhang (2002, Scandinavian Journal of Statistics 29, 75-88), we suggested a flexible extension of Cox's regression model, which aimed at extending the Cox model only for those covariates where additional flexibility are needed. One important advantage of the suggested approach is that even though covariates are allowed a nonparametric effect, the hassle and difficulty of finding smoothing parameters are not needed. We show how the extended model also leads to simple formulae for predicted probabilities and their standard errors, for example, in the competing risk framework. |
| Related Links | http://onlinelibrary.wiley.com/doi/10.1111/j.0006-341X.2003.00119.x/pdf |
| Ending Page | 1045 |
| Page Count | 10 |
| Starting Page | 1036 |
| e-ISSN | 15410420 |
| DOI | 10.1111/j.0006-341x.2003.00119.x |
| Journal | Biometrics |
| Issue Number | 4 |
| Volume Number | 59 |
| Language | English |
| Publisher | Wiley-Blackwell |
| Publisher Date | 2003-12-11 |
| Access Restriction | Open |
| Subject Keyword | Journal: Biometrics Mathematical Social Sciences Aalen Additive Risk Model Competing Risk Counting Processes Cox Model Cumulative Incidence Function Goodness of Fit Prediction of Survival Probability Time‐varying Effects |
| Content Type | Text |
| Resource Type | Article |
