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

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 re...

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Detalles Bibliográficos
Autores principales: Zhu, Jiayan, Zhang, Wei, Li, Qizhai, Li, Zhengbang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5556062/
https://www.ncbi.nlm.nih.gov/pubmed/28808295
http://dx.doi.org/10.1038/s41598-017-08371-6
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author Zhu, Jiayan
Zhang, Wei
Li, Qizhai
Li, Zhengbang
author_facet Zhu, Jiayan
Zhang, Wei
Li, Qizhai
Li, Zhengbang
author_sort Zhu, Jiayan
collection PubMed
description 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.
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spelling pubmed-55560622017-08-16 Testing Association between Mixed Type Outcomes and Covariates Jointly by the Use of a Latent Variable Zhu, Jiayan Zhang, Wei Li, Qizhai Li, Zhengbang Sci Rep Article 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. Nature Publishing Group UK 2017-08-14 /pmc/articles/PMC5556062/ /pubmed/28808295 http://dx.doi.org/10.1038/s41598-017-08371-6 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Zhu, Jiayan
Zhang, Wei
Li, Qizhai
Li, Zhengbang
Testing Association between Mixed Type Outcomes and Covariates Jointly by the Use of a Latent Variable
title 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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5556062/
https://www.ncbi.nlm.nih.gov/pubmed/28808295
http://dx.doi.org/10.1038/s41598-017-08371-6
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