Identifying Heterogeneous Effect Using Latent Supervised Clustering With Adaptive Fusion

Precision medicine is an important area of research with the goal of identifying the optimal treatment for each individual patient. In the literature, various methods are proposed to divide the population into subgroups according to the heterogeneous effects of individuals. In this article, a new ex...

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Bibliographic Details
Published in:	Journal of computational and graphical statistics Vol. 30; no. 1; pp. 43 - 54
Main Authors:	Chen, Jingxiang, Tran-Dinh, Quoc, Kosorok, Michael R., Liu, Yufeng
Format:	Journal Article
Language:	English
Published:	United States Taylor & Francis 2021 Taylor & Francis Ltd
Subjects:	Accelerated proximal gradient algorithm Algorithms Clustering Clustering analysis Convex clustering Design parameters Machine learning Parameter estimation Precision medicine Subgroups Subpopulation identification Convex Clustering Clustering Analysis Subpopulation Identification Machine Learning Accelerated Proximal Gradient Algorithm Precision Medicine
ISSN:	1061-8600, 1537-2715
Online Access:	Get full text
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