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本文引用的文献

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Rank-based robust tests for quantitative-trait genetic association studies.基于秩的稳健检验方法在数量性状基因关联研究中的应用。
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联合使用潜在变量检验混合类型结局与协变量之间的关联。

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

机构信息

School of Mathematics and Statistics & Hubei Key Laboratory of Mathematical Sciences, Central China Normal University, Wuhan, 430079, China.

School of Information and Communication, Wuhan College, Wuhan, 430212, China.

出版信息

Sci Rep. 2017 Aug 14;7(1):8006. doi: 10.1038/s41598-017-08371-6.

DOI:10.1038/s41598-017-08371-6
PMID:28808295
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5556062/
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.

摘要

在生物医学领域,通常会同时收集多个结果,以确定连续反应和有序反应是否同时与某些协变量相关。在这里,我们提出了一种使用有序反应潜在变量的联合统计模型。得到了渐近结果,并提出了一种联合检验,用于检验连续反应和有序反应是否同时与某些协变量相关。大量的模拟和实际数据分析结果表明,所提出的方法比联合 p 值方法具有更高的效率。