The proposed 'concordance-statistic for benefit' provided a useful metric when modeling heterogeneous treatment effects.

ABSTRACT:

Objectives

Clinical prediction models that support treatment decisions are usually evaluated for their ability to predict the risk of an outcome rather than treatment benefit-the difference between outcome risk with vs. without therapy. We aimed to define performance metrics for a model's ability to predict treatment benefit.

Study design and setting

We analyzed data of the Synergy between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery (SYNTAX) trial and of three recombinant tissue plasminogen activator trials. We assessed alternative prediction models with a conventional risk concordance-statistic (c-statistic) and a novel c-statistic for benefit. We defined observed treatment benefit by the outcomes in pairs of patients matched on predicted benefit but d

SUBMITTER: van Klaveren D 

PROVIDER: S-EPMC7448760 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature