Estimation of the optimal surrogate based on a randomized trial.

ABSTRACT: A common scientific problem is to determine a surrogate outcome for a long-term outcome so that future randomized studies can restrict themselves to only collecting the surrogate outcome. We consider the setting that we observe n independent and identically distributed observations of a random variable consisting of baseline covariates, a treatment, a vector of candidate surrogate outcomes at an intermediate time point, and the final outcome of interest at a final time point. We assume the treatment is randomized, conditional on the baseline covariates. The goal is to use these data to learn a most-promising surrogate for use in future trials for inference about a mean contrast treatment effect on the final outcome. We define an optimal surrogate for the current study as the function of th

SUBMITTER: Price BL 

PROVIDER: S-EPMC6393111 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature