activity
20172023
most citedConditional regression based on a multivariate zero-inflated logistic normal model for microbiome relative abundance data

3 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

stat.AP2023

HT-MMIOW: A Hypothesis Test approach for Microbiome Mediation using Inverse Odds Weighting

Yuka Moroishi, Zhigang Li, Juliette C. Madan +3

The human microbiome has an important role in determining health. Mediation analyses quantify the contribution of the microbiome in the causal path between exposure and disease; ho…

q-bio.QM2020

Information content of high-order associations of the human gut microbiota network

Weston D. Viles, Juliette C. Madan, Hongzhe Li +3

The human gastrointestinal tract is an environment that hosts an ecosystem of microorganisms essential to human health. Vital biological processes emerge from fundamental inter- an…

stat.AP2019★ 1 cited

IFAA: Robust association identification and Inference For Absolute Abundance in microbiome analyses

Zhigang Li, Lu Tian, A. James O'Malley +8

The target of inference in microbiome analyses is usually relative abundance (RA) because RA in a sample (e.g., stool) can be considered as an approximation of RA in an entire ecos…

stat.ME2019★ 1 cited

MarZIC: A Marginal mediation model for Zero-Inflated Compositional mediators with applications to microbiome data

Quran Wu, A. James O'Malley, Janaka S. S. Liyanage +9

The human microbiome can contribute to pathogeneses of many complex diseases by mediating disease-leading causal pathways. However, standard mediation analysis methods are not adeq…

stat.AP2017★ 3 cited

Conditional regression based on a multivariate zero-inflated logistic normal model for microbiome relative abundance data

Zhigang Li, Katherine Lee, Margaret R. Karagas +4

The human microbiome plays critical roles in human health and has been linked to many diseases. While advanced sequencing technologies can characterize the composition of the micro…