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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Vydané v:	Journal of computational and graphical statistics Ročník 30; číslo 1; s. 43 - 54
Hlavní autori:	Chen, Jingxiang, Tran-Dinh, Quoc, Kosorok, Michael R., Liu, Yufeng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Taylor & Francis 2021 Taylor & Francis Ltd
Predmet:	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
On-line prístup:	Získať plný text
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