Testing Association between Mixed Type Outcomes and Covariates Jointly by the Use of a Latent Variable

Abstract Multiple outcomes are often collected simultaneously in biomedical fields in order to identify whether a continuous response and an ordinal response are associated with some covariates simultaneously. Here we propose a joint statistical model by the use of a latent variable underlying the o...

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Autores principales:	Jiayan Zhu, Wei Zhang, Qizhai Li, Zhengbang Li
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/c32a0ba9c4424ada820f3abde1415ade
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spelling	oai:doaj.org-article:c32a0ba9c4424ada820f3abde1415ade2021-12-02T12:32:18ZTesting Association between Mixed Type Outcomes and Covariates Jointly by the Use of a Latent Variable10.1038/s41598-017-08371-62045-2322https://doaj.org/article/c32a0ba9c4424ada820f3abde1415ade2017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-08371-6https://doaj.org/toc/2045-2322Abstract Multiple outcomes are often collected simultaneously in biomedical fields in order to identify whether a continuous response and an ordinal response are associated with some covariates simultaneously. Here we propose a joint statistical model by the use of a latent variable underlying the ordinal response. Asymptotic results are obtained and a jointly test is proposed for testing the continuous response and the ordinal response are associated with some covariates simultaneously. Extensive simulations and real data analysis results indicate more efficient performances of the proposed method than that of the combined p-values method.Jiayan ZhuWei ZhangQizhai LiZhengbang LiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-10 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jiayan Zhu Wei Zhang Qizhai Li Zhengbang Li Testing Association between Mixed Type Outcomes and Covariates Jointly by the Use of a Latent Variable
description	Abstract Multiple outcomes are often collected simultaneously in biomedical fields in order to identify whether a continuous response and an ordinal response are associated with some covariates simultaneously. Here we propose a joint statistical model by the use of a latent variable underlying the ordinal response. Asymptotic results are obtained and a jointly test is proposed for testing the continuous response and the ordinal response are associated with some covariates simultaneously. Extensive simulations and real data analysis results indicate more efficient performances of the proposed method than that of the combined p-values method.
format	article
author	Jiayan Zhu Wei Zhang Qizhai Li Zhengbang Li
author_facet	Jiayan Zhu Wei Zhang Qizhai Li Zhengbang Li
author_sort	Jiayan Zhu
title	Testing Association between Mixed Type Outcomes and Covariates Jointly by the Use of a Latent Variable
title_short	Testing Association between Mixed Type Outcomes and Covariates Jointly by the Use of a Latent Variable
title_full	Testing Association between Mixed Type Outcomes and Covariates Jointly by the Use of a Latent Variable
title_fullStr	Testing Association between Mixed Type Outcomes and Covariates Jointly by the Use of a Latent Variable
title_full_unstemmed	Testing Association between Mixed Type Outcomes and Covariates Jointly by the Use of a Latent Variable
title_sort	testing association between mixed type outcomes and covariates jointly by the use of a latent variable
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/c32a0ba9c4424ada820f3abde1415ade
work_keys_str_mv	AT jiayanzhu testingassociationbetweenmixedtypeoutcomesandcovariatesjointlybytheuseofalatentvariable AT weizhang testingassociationbetweenmixedtypeoutcomesandcovariatesjointlybytheuseofalatentvariable AT qizhaili testingassociationbetweenmixedtypeoutcomesandcovariatesjointlybytheuseofalatentvariable AT zhengbangli testingassociationbetweenmixedtypeoutcomesandcovariatesjointlybytheuseofalatentvariable
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Testing Association between Mixed Type Outcomes and Covariates Jointly by the Use of a Latent Variable

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