ArticleBiometrics2022
A semiparametric model for between-subject attributes: Applications to beta-diversity of microbiome data.
Article in Biometrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Novel Distance Regression for Repeated Outcomes With Missing Data: Applications to Longitudinal and Crossover Studies of Microbiome Beta-Diversity.Statistics in medicine · 2026Article
- Regression-based Modeling of Spearman's Rho for Longitudinal Metabolomics and Mental Wellness in Breast Cancer Patients.bioRxiv : the preprint server for biology · 2026Article
- Distress as a bridge to suicidality in schizophrenia spectrum disorders: a network-based intervention simulation study.Research square · 2026Article
- MULTI-MODAL AND MULTI-REGION DISTANCE MODEL FOR NEUROIMAGING: APPLICATION TO ABCD STUDY.bioRxiv : the preprint server for biology · 2026Article
- Article
- A New Paradigm for High-dimensional Data: Distance-Based Semiparametric Feature Aggregation Framework via Between-Subject Attributes.Scandinavian journal of statistics, theory and applications · 2024Article
- A doubly robust estimator for the Mann Whitney Wilcoxon rank sum test when applied for causal inference in observational studies.Journal of applied statistics · 2024Article
- Metagenetic Analysis of the Pregnant Microbiome in Horses.Animals : an open access journal from MDPI · 2023Article
- Deciphering the 'gut-brain axis' through microbiome diversity.General psychiatry · 2023Review
- Effects of formic acid and glycerol monolaurate on weanling pig growth performance, fecal consistency, fecal microbiota, and serum immunity.Translational animal science · 2022Article
- Defining and quantifying the core microbiome: Challenges and prospects.Proceedings of the National Academy of Sciences of the United States of America · 2021Review
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Authors and funding
18 authors.
Funding
Abstract
The human microbiome plays an important role in our health and identifying factors associated with microbiome composition provides insights into inherent disease mechanisms. By amplifying and sequencing the marker genes in high-throughput sequencing, with highly similar sequences binned together, we obtain operational taxonomic units (OTUs) profiles for each subject. Due to the high-dimensionality and nonnormality features of the OTUs, the measure of diversity is introduced as a summarization at the microbial community level, including the distance-based beta-diversity between individuals. Analyses of such between-subject attributes are not amenable to the predominant within-subject-based statistical paradigm, such as t-tests and linear regression. In this paper, we propose a new approach to model beta-diversity as a response within a regression setting by utilizing the functional response models (FRMs), a class of semiparametric models for between- as well as within-subject attributes. The new approach not only addresses limitations of current methods for beta-diversity with cross-sectional data, but also provides a premise for extending the approach to longitudinal and other clustered data in the future. The proposed approach is illustrated with both real and simulated data.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.