| Literature DB >> 23865447 |
Changyu Shen1, Jaesik Jeong, Xiaochun Li, Peng-Sheng Chen, Alfred Buxton.
Abstract
It is well recognized that the conventional summary of treatment effect by averaging across individual patients has its limitation in ignoring the heterogeneous responses to the treatment in the target population. However, there are few alternative metrics in the literature that are designed to capture such heterogeneity. We propose the concept of treatment benefit rate (TBR) and treatment harm rate (THR) that characterize both the overall treatment effect and the magnitude of heterogeneity. We discuss a method to estimate TBR and THR that easily incorporates a sensitivity analysis scheme, and illustrate the idea through analysis of a randomized trial that evaluates the implantable cardioverter-defibrillator (ICD) in reducing mortality. A simulation study is presented to assess the performance of the proposed method.Entities:
Keywords: Causal inference; Heterogeneity in treatment effect; Potential outcomes; Sub-group analysis
Mesh:
Year: 2013 PMID: 23865447 PMCID: PMC3787989 DOI: 10.1111/biom.12038
Source DB: PubMed Journal: Biometrics ISSN: 0006-341X Impact factor: 2.571