A marginalized two-part Beta regression model for microbiome compositional data
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DOI: 10.1371/journal.pcbi.1006329
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References listed on IDEAS
- J. L. Scealy & A. H. Welsh, 2011. "Regression for compositional data by using distributions defined on the hypersphere," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 73(3), pages 351-375, June.
- Ospina, Raydonal & Ferrari, Silvia L.P., 2012. "A general class of zero-or-one inflated beta regression models," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1609-1623.
- Liu, Lei & Strawderman, Robert L. & Cowen, Mark E. & Shih, Ya-Chen T., 2010. "A flexible two-part random effects model for correlated medical costs," Journal of Health Economics, Elsevier, vol. 29(1), pages 110-123, January.
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Cited by:
- Yeongjin Gwon & Fang Yu & Jeffrey B. Payne & Ted R. Mikuls, 2024. "Bayesian Modeling on Microbiome Data Analysis: Application to Subgingival Microbiome Study," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 16(3), pages 556-577, December.
- Tugba Akkaya Hocagil & Richard J. Cook & Sandra W. Jacobson & Joseph L. Jacobson & Louise M. Ryan, 2021. "Propensity score analysis for a semi‐continuous exposure variable: a study of gestational alcohol exposure and childhood cognition," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(4), pages 1390-1413, October.
- Haixiang Zhang & Jun Chen & Zhigang Li & Lei Liu, 2021. "Testing for Mediation Effect with Application to Human Microbiome Data," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 13(2), pages 313-328, July.
- Meier Richard & Thompson Jeffrey A. & Chung Mei & Zhao Naisi & Kelsey Karl T. & Michaud Dominique S. & Koestler Devin C., 2019. "A Bayesian framework for identifying consistent patterns of microbial abundance between body sites," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 18(6), pages 1-15, December.
- Jian Wang & Cielito C. Reyes-Gibby & Sanjay Shete, 2021. "An Approach to Analyze Longitudinal Zero-Inflated Microbiome Count Data Using Two-Stage Mixed Effects Models," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 13(2), pages 267-290, July.
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