Title | Look before you leap: systematic evaluation of tree-based statistical methods in subgroup identification. |
Publication Type | Journal Article |
Year of Publication | 2019 |
Authors | Liu, Yang, Xiwen Ma, Donghui Zhang, Lijiang Geng, Xiaojing Wang, Wei Zheng, and Ming-Hui Chen |
Journal | J Biopharm Stat |
Volume | 29 |
Issue | 6 |
Pagination | 1082-1102 |
Date Published | 2019 |
ISSN | 1520-5711 |
Keywords | Area Under Curve, Computer Simulation, Data Interpretation, Statistical, Precision Medicine |
Abstract | Subgroup analysis, as the key component of personalized medicine development, has attracted a lot of interest in recent years. While a number of exploratory subgroup searching approaches have been proposed, informative evaluation criteria and scenario-based systematic comparison of these methods are still underdeveloped topics. In this article, we propose two evaluation criteria in connection with traditional type I error and power concepts, and another criterion to directly assess recovery performance of the underlying treatment effect structure. Extensive simulation studies are carried out to investigate empirical performance of a variety of tree-based exploratory subgroup methods under the proposed criteria. A real data application is also included to illustrate the necessity and importance of method evaluation. |
DOI | 10.1080/10543406.2019.1584204 |
Alternate Journal | J Biopharm Stat |
Original Publication | Look before you leap: Systematic evaluation of tree-based statistical methods in subgroup identification. |
PubMed ID | 30859903 |
PubMed Central ID | PMC6742587 |
Grant List | P01 CA142538 / CA / NCI NIH HHS / United States R01 GM070335 / GM / NIGMS NIH HHS / United States |