The added value of new covariates to the brier score in cox survival models.

ABSTRACT: Calibration is an important measure of the predictive accuracy for a prognostic risk model. A widely used measure of calibration when the outcome is survival time is the expected Brier score. In this paper, methodology is developed to accurately estimate the difference in expected Brier scores derived from nested survival models and to compute an accompanying variance estimate of this difference. The methodology is applicable to time invariant and time-varying coefficient Cox survival models. The nested survival model approach is often applied to the scenario where the full model consists of conventional and new covariates and the subset model contains the conventional covariates alone. A complicating factor in the methodologic development is that the Cox model specification cannot, in gen

SUBMITTER: Heller G 

PROVIDER: S-EPMC7855634 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature