Area of research
Statistics and Probability · Genetics
Research interest
Research interests include Statistical Methods and Inference, Statistical Methods and Bayesian Inference, Genetic Associations and Epidemiology, and Gut microbiota and health.
DTH: A nonparametric test for homogeneity of multivariate dispersions.
MIDASim: a fast and simple simulator for realistic microbiome data
Impact of Experimental Bias on Compositional Analysis of Microbiome Data.
Integrative analysis of microbial 16S gene and shotgun metagenomic sequencing data improves statistical efficiency
Ranked severe maternal morbidity index for population-level surveillance at delivery hospitalization based on hospital discharge data
LOCOM: A logistic regression model for testing differential abundance in compositional microbiome data with false discovery rate control
LOCOM: A logistic regression model for testing differential abundance in compositional microbiome data with false discovery rate control.
A rarefaction-without-resampling extension of PERMANOVA for testing presence–absence associations in the microbiome
Testing microbiome associations with survival times at both the community and individual taxon levels.
Associations between microbial communities and key chemical constituents in U.S. domestic moist snuff.
Efficient estimation of indirect effects in case-control studies using a unified likelihood framework.
What Can We Learn about the Bias of Microbiome Studies from Analyzing Data from Mock Communities?
Vaginal Microbiome Composition in Early Pregnancy and Risk of Spontaneous Preterm and Early Term Birth Among African American Women
Constraining PERMANOVA and LDM to within-set comparisons by projection improves the efficiency of analyses of matched sets of microbiome data
A rarefaction-based extension of the LDM for testing presence–absence associations in the microbiome
A rarefaction-based extension of the LDM for testing presence-absence associations in the microbiome.
LOCOM: A logistic regression model for testing differential abundance in compositional microbiome data with false discovery rate control
Testing hypotheses about the microbiome using the linear decomposition model (LDM)
Stability of the vaginal, oral, and gut microbiota across pregnancy among African American women: the effect of socioeconomic status and antibiotic exposure
Changes in vaginal community state types reflect major shifts in the microbiome
PhredEM: a phred-score-informed genotype-calling approach for next-generation sequencing studies
Dysbiosis, inflammation, and response to treatment: a longitudinal study of pediatric subjects with newly diagnosed inflammatory bowel disease
Testing Rare-Variant Association without Calling Genotypes Allows for Systematic Differences in Sequencing between Cases and Controls
A Permutation Procedure to Correct for Confounders in Case-Control Studies, Including Tests of Rare Variation