Case-only trees and random forests for exploring genotype-specific treatment effects in randomized clinical trials with dichotomous endpoints
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Discovering gene-treatment interactions in clinical trials is of rising interest in the era of precision medicine. Nonparametric statistical learning methods such as trees and random forests are useful tools for building prediction rules. In this article, we i... ...
