High-Dimensional Variable Selection in Meta-Analysis for Censored Data
High-Dimensional Variable Selection in Meta-Analysis for Censored Data
Summary This article considers the problem of selecting predictors of time to an event from a high-dimensional set of candidate predictors using data from multiple studies. As an alternative to the current multistage testing approaches, we propose to model the study-to-study heterogeneity explicitly using a hierarchical model to borrow strength. …