Leveraging mixed and incomplete outcomes via reduced-rank modeling
type: Item
instance of: scholarly article
published in: Journal of Multivariate Analysis
volume: 167
page(s): 378-394
publication date: 2018-09-01T00:00:00Z
publication date: 2018-08-16T00:00:00Z
author: Chongliang Luo
author: Jian Liang
author: Gen Li
author: Fei Wang
author: Changshui Zhang
author: Kun Chen
author: Dipak K. Dey
title: Leveraging mixed and incomplete outcomes via reduced-rank modeling
zbMATH Open document ID: 1395.62135
Mathematics Subject Classification ID: 62H12
Mathematics Subject Classification ID: 62J12
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 6919562
zbMATH Keywords: generalized linear model
zbMATH Keywords: integrative learning
zbMATH Keywords: missing data
zbMATH Keywords: multivariate regression
describes a project that uses: IndependenceTests
describes a project that uses: LowRankModels
describes a project that uses: Pyglrm
MaRDI profile type: Publication
full work available at URL: j.jmva.2018.04.011
OpenAlex ID: W2810050069
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Leveraging mixed and incomplete outcomes via reduced-rank modeling (DOI)
DOI: 10.1016/J.JMVA.2018.04.011