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20082023
most citedA sparse conditional Gaussian graphical model for analysis of genetical genomics data

185 citations · 654 across the 31 of their papers we have counts for

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8 papers · 1 filter

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…

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.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…

stat.AP2017

A Model for Paired-Multinomial Data and Its Application to Analysis of Data on a Taxonomic Tree

Pixu Shi, Hongzhe Li

In human microbiome studies, sequencing reads data are often summarized as counts of bacterial taxa at various taxonomic levels specified by a taxonomic tree. This paper considers…

stat.AP2016★ 16 cited

Regression Analysis for Microbiome Compositional Data

Pixu Shi, Anru Zhang, Hongzhe Li

One important problem in microbiome analysis is to identify the bacterial taxa that are associated with a response, where the microbiome data are summarized as the composition of t…

stat.AP2012★ 185 cited

A sparse conditional Gaussian graphical model for analysis of genetical genomics data

Jianxin Yin, Hongzhe Li

Genetical genomics experiments have now been routinely conducted to measure both the genetic markers and gene expression data on the same subjects. The gene expression levels are o…