Estimation of the proportion of treatment effect explained by a high-dimensional surrogate.

ABSTRACT: Clinical studies examining the effectiveness of a treatment with respect to some primary outcome often require long-term follow-up of patients and/or costly or burdensome measurements of the primary outcome of interest. Identifying a surrogate marker for the primary outcome of interest may allow one to evaluate a treatment effect with less follow-up time, less cost, or less burden. While much clinical and statistical work has focused on identifying and validating surrogate markers, available approaches tend to focus on settings in which only a single surrogate marker is of interest. Limited work has been done to accommodate the high-dimensional surrogate marker setting where the number of potential surrogates is greater than the sample size. In this article, we develop methods to estimate

SUBMITTER: Zhou RR 

PROVIDER: S-EPMC9534581 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature