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A Class of Semiparametric Mixture Cure Survival Models With Dependent Censoring
| Content Provider | Scilit |
|---|---|
| Author | Othus, Megan Li, Yi Tiwari, Ram C. |
| Copyright Year | 2009 |
| Description | Journal: Journal of the American Statistical Association Modern cancer treatments have substantially improved cure rates and have generated a great interest in and need for proper statistical tools to analyze survival data with nonnegligible cure fractions. Data with cure fractions often are complicated by dependent censoring, and the analysis of this type of data typically involves untestable parametric assumptions on the dependence of the censoring mechanism and the true survival times. Motivated by the analysis of prostate cancer survival trends, we propose a class of semiparametric transformation cure models that allows for dependent censoring without making parametric assumptions on the dependence relationship. The proposed class of models encompasses a number of common models for the latency survival function, including the proportional hazards model and the proportional odds model, and also allows for time-dependent covariates. An inverse censoring probability reweighting scheme is used to derive unbiased estimating equations. Small-sample properties with simulations are derived, and the method is demonstrated with a data application. |
| Related Links | https://biostats.bepress.com/cgi/viewcontent.cgi?article=1106&context=harvardbiostat https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2920213/pdf |
| Ending Page | 1250 |
| Page Count | 10 |
| Starting Page | 1241 |
| ISSN | 01621459 |
| e-ISSN | 1537274X |
| DOI | 10.1198/jasa.2009.tm08033 |
| Journal | Journal of the American Statistical Association |
| Issue Number | 487 |
| Volume Number | 104 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2009-09-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Journal of the American Statistical Association Statistics and Probability Estimating Equation Proportional Hazards Model Proportional Odds Model Right Censoring Transformation Model |
| Content Type | Text |
| Subject | Statistics and Probability Statistics, Probability and Uncertainty |
