An alternative trial-level measure for evaluating failure-time surrogate endpoints based on prediction error.

ABSTRACT: To validate a failure-time surrogate for an established failure-time clinical endpoint such as overall survival, the meta-analytic approach is commonly used. The standard correlation approach considers two levels: the individual level, with Kendall's τ measuring the rank correlation between the endpoints, and the trial level, with the coefficient of determination R 2 measuring the correlation between the treatment effects on the surrogate and on the final endpoint. However, the estimation of R 2 is not robust with respect to the estimation error of the trial-specific treatment effects. The alternative proposed in this article uses a prediction error based on a measure of the weighted difference between the observed treatment effect on the final endpoint and a model-based p

SUBMITTER: Belhechmi S 

PROVIDER: S-EPMC6627581 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature