Selected Publications

Here we introduce Multinomial Logistic-Normal Dynamic Linear Models (MALLARDs) for the analysis of longitudinal microbiome studies. We apply this framework for the analysis of a longitudinal study of 4 artificial gut models.
On bioRxiv

Surveys of microbial communities (microbiota), typically measured as relative abundance of species, have illustrated the importance of these communities in human health and disease. Yet, statistical artifacts commonly plague the analysis of relative abundance data. Here, we introduce the PhILR transform, which incorporates microbial evolutionary models with the isometric log-ratio transform to allow off-the-shelf statistical tools to be safely applied to microbiota surveys.
In eLife

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