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A Logistic Normal Multinomial Regression Model for Microbiome Compositional Data Analysis

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  • Fan Xia
  • Jun Chen
  • Wing Kam Fung
  • Hongzhe Li

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  • Fan Xia & Jun Chen & Wing Kam Fung & Hongzhe Li, 2013. "A Logistic Normal Multinomial Regression Model for Microbiome Compositional Data Analysis," Biometrics, The International Biometric Society, vol. 69(4), pages 1053-1063, December.
    • Handle: RePEc:bla:biomet:v:69:y:2013:i:4:p:1053-1063
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    References listed on IDEAS

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    1. Lukas Meier & Sara Van De Geer & Peter Bühlmann, 2008. "The group lasso for logistic regression," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(1), pages 53-71, February.
    2. Ming Yuan & Yi Lin, 2006. "Model selection and estimation in regression with grouped variables," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 68(1), pages 49-67, February.
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    Cited by:

    1. Tyler A Joseph & Liat Shenhav & Joao B Xavier & Eran Halperin & Itsik Pe’er, 2020. "Compositional Lotka-Volterra describes microbial dynamics in the simplex," PLOS Computational Biology, Public Library of Science, vol. 16(5), pages 1-22, May.
    2. Can Cui & Susheela P. Singh & Ana‐Maria Staicu & Brian J. Reich, 2021. "Bayesian variable selection for high‐dimensional rank data," Environmetrics, John Wiley & Sons, Ltd., vol. 32(7), November.
    3. Peyhardi, Jean & Fernique, Pierre & Durand, Jean-Baptiste, 2021. "Splitting models for multivariate count data," Journal of Multivariate Analysis, Elsevier, vol. 181(C).
    4. Duo Jiang & Thomas Sharpton & Yuan Jiang, 2021. "Microbial Interaction Network Estimation via Bias-Corrected Graphical Lasso," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 13(2), pages 329-350, July.
    5. Srinivasan, Arun & Xue, Lingzhou & Zhan, Xiang, 2023. "Identification of microbial features in multivariate regression under false discovery rate control," Computational Statistics & Data Analysis, Elsevier, vol. 181(C).
    6. Zhigang Li & Katherine Lee & Margaret R. Karagas & Juliette C. Madan & Anne G. Hoen & A. James O’Malley & Hongzhe Li, 2018. "Conditional Regression Based on a Multivariate Zero-Inflated Logistic-Normal Model for Microbiome Relative Abundance Data," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 10(3), pages 587-608, December.
    7. Tu, Wangshu & Browne, Ryan & Subedi, Sanjeena, 2024. "A mixture of logistic skew-normal multinomial models," Computational Statistics & Data Analysis, Elsevier, vol. 196(C).
    8. Mei Dong & Longhai Li & Man Chen & Anthony Kusalik & Wei Xu, 2020. "Predictive analysis methods for human microbiome data with application to Parkinson’s disease," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-18, August.
    9. Tao Wang & Hongyu Zhao, 2017. "A Dirichlet-tree multinomial regression model for associating dietary nutrients with gut microorganisms," Biometrics, The International Biometric Society, vol. 73(3), pages 792-801, September.

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