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Generalized Hotelling's test for paired compositional data with application to human microbiome studies
Ni Zhao
, Xiang Zhan
, Katherine A. Guthrie
, Caroline M. Mitchell
, Joseph Larson
Department of Public Health Sciences
Division of Biostatistics and Bioinformatics
Research output
:
Contribution to journal
›
Article
›
peer-review
13
Scopus citations
Overview
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Keyphrases
Human Microbiome
100%
Compositional Data
100%
Microbiome Study
100%
Microbiome Data
66%
System Dynamics
33%
Microbial Composition
33%
Statistical Methods
33%
Positive Definite
33%
Statistical Significance
33%
Medication Changes
33%
Covariance
33%
Freely Available
33%
Vaginal Microbiome
33%
Response to Treatment
33%
Type I Error
33%
Sample Covariance
33%
Optimal Weights
33%
Paired Samples
33%
Sample Covariance Matrix
33%
Permutation Method
33%
Hotelling Statistic
33%
Menopausal Hot Flashes
33%
Microbial Changes
33%
Mathematics
Paired Sample
16%
Paired Design
16%
Sample Covariance Matrix
16%