LAPSE:2019.0568
Published Article
LAPSE:2019.0568
Relationship Between MiRKAT and Coefficient of Determination in Similarity Matrix Regression
Xiang Zhan
June 8, 2019
The Microbiome Regression-based Kernel Association Test (MiRKAT) is widely used in testing for the association between microbiome compositions and an outcome of interest. The MiRKAT statistic is derived as a variance-component score test in a kernel machine regression-based generalized linear mixed model. In this brief report, we show that the MiRKAT statistic is proportional to the R 2 (coefficient of determination) statistic in a similarity matrix regression, which characterizes the fraction of variability in outcome similarity, explained by microbiome similarity (up to a constant).
Keywords
coefficient of determination R2, fraction of variance explained, microbiome association analysis, MiRKAT, similarity matrix regression
Subject
Suggested Citation
Zhan X. Relationship Between MiRKAT and Coefficient of Determination in Similarity Matrix Regression. (2019). LAPSE:2019.0568
Author Affiliations
Zhan X: Department of Public Health Sciences, Pennsylvania State University, Hershey, PA 17033, USA
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Journal Name
Processes
Volume
7
Issue
2
Article Number
E79
Year
2019
Publication Date
2019-02-06
Published Version
ISSN
2227-9717
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Original Submission
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PII: pr7020079, Publication Type: Journal Article
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LAPSE:2019.0568
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doi:10.3390/pr7020079
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Jun 8, 2019
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CC BY 4.0
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Jun 8, 2019
 
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Original Submitter
Calvin Tsay
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