A Concave Pairwise Fusion Approach to Subgroup Analysis

• Published in: Journal of the American Statistical Association Vol. 112; no. 517; pp. 410 - 423
• Main Authors: Ma, Shujie, Huang, Jian
• Format: Journal Article
• Language: English
• Published: Alexandria Taylor & Francis 02.01.2017; Taylor & Francis Group,LLC; Taylor & Francis Ltd
• Subjects: Algorithms; Asymptotic normality; Cardiovascular diseases; Computer simulation; Convergence; data collection; equations; Heart diseases; Heterogeneity; Inference; Linear regression; multipliers; Oracle property; Penalties; Penalty function; Regression analysis; Regression models; Simulation; Statistical analysis; Statistical inference; Statistical methods; Statistics; Subgroups; Theory and Methods

An important step in developing individualized treatment strategies is correct identification of subgroups of a heterogeneous population to allow specific treatment for each subgroup. This article considers the problem using samples drawn from a population consisting of subgroups with different mean...