activity
20202024
most citedLinDA: linear models for differential abundance analysis of microbiome compositional data

7 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

stat.ME2024

Subsampling-based Tests in Mediation Analysis

Asmita Roy, Huijuan Zhou, Ni Zhao +1

Testing for mediation effect poses a challenge since the null hypothesis (i.e., the absence of mediation effects) is composite, making most existing mediation tests quite conservat…

cs.LG2024★ 2 cited

Generalization Bounds and Model Complexity for Kolmogorov-Arnold Networks

Xianyang Zhang, Huijuan Zhou

Kolmogorov-Arnold Network (KAN) is a network structure recently proposed by Liu et al. (2024) that offers improved interpretability and a more parsimonious design in many science-o…

math.ST2022★ 3 cited

A Modern Theory for High-dimensional Cox Regression Models

Hanxuan Ye, Xianyang Zhang, Huijuan Zhou

The proportional hazards model has been extensively used in many fields such as biomedicine to estimate and perform statistical significance testing on the effects of covariates in…

stat.ME2021★ 7 cited

LinDA: linear models for differential abundance analysis of microbiome compositional data

Huijuan Zhou, Kejun He, Jun Chen +1

Differential abundance analysis is at the core of statistical analysis of microbiome data. The compositional nature of microbiome sequencing data makes false positive control chall…

stat.ME2020★ 1 cited

Covariate Adaptive Family-wise Error Rate Control for Genome-Wide Association Studies

Huijuan Zhou, Xianyang Zhang, Jun Chen

The family-wise error rate (FWER) has been widely used in genome-wide association studies. With the increasing availability of functional genomics data, it is possible to increase…