期刊
BIOMETRICAL JOURNAL
卷 48, 期 6, 页码 1029-1040出版社
AKADEMIE VERLAG GMBH
DOI: 10.1002/bimj.200610301
关键词
brier score; censoring bias; inverse of probability of censoring weighting; model validation; survival analysis
In survival analysis with censored data the mean squared error of prediction can be estimated by weighted averages of time-dependent residuals. Graf et al. (1999) suggested a robust weighting scheme based on the assumption that the censoring mechanism is independent of the covariates. We show consistency of the estimator. Furthermore, we show that a modified version of this estimator is consistent even when censoring and event times are only conditionally independent given the covariates. The modified estimators are derived on the basis of regression models for the censoring distribution. A simulation study and a real data example illustrate the results.
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