Single index methods for evaluation of marker-guided treatment rules based on multivariate marker panels.

ABSTRACT: Clinical practice may be enhanced by use of person-level information that could guide treatment choice and lead to better outcomes for both treated individuals and for the population. The scientific challenge is to identify and validate those factors that can reliably be used to target treatment, and to accurately quantify the expected treatment benefit as a function of candidate markers. Our proposal is to explicitly focus on smooth non-parametric evaluation of a canonical single index score that estimates the expected treatment benefit associated with patient characteristics. Our methods intentionally decouple the model used to generate the treatment benefit score from the methods that are adopted to evaluate the performance of the resulting single index score. We are motivated by the pr

SUBMITTER: Skrivankova V 

PROVIDER: S-EPMC5803489 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature