A Bayesian Hierarchical Excess Mortality Model to Assess the Total Impact of COVID-19 on Opioid Users

Modeling and Statistical Analyses Probing the Heterogeneity in Individual Change Points in Longitudinal Cognitive Outcomes

Investigating Missing Data Mechanisms in Substance Abuse Research: Analyzing the Missing-Not-At-Random (MNAR) Pattern of ‘Return to Use’ Data

Assessing the Impact of Misclassification in Case-Control Studies: An Examination of Bayesian Credible Intervals

Estimation of Cognitive Ability in Longitudinal IRT using Univariate Composite Likelihood: Application to the Emory Healthy Brain Study

Identification of Spatially Variable Genes (SVGs)

Machine learning for estimating and comparing clinical rules for treating diarrheal illness with antibiotics

Correlation between biomarkers associated with Alzheimer's disease and the cognitive practice effect

Spatial Associations between Measures of Public Transportation and Diabetic Foot Ulcer Outcomes in the State of Georgia – 2016-2019

Kidney Function: Outdoor vs. Indoor Hispanic Agricultural Workers

A Density Ratio Super Learner

Evaluation of Missing Data and Imputation Methods in Environmental Mixtures Analyses using Weighted Quantile Sum regression and Quantile g-computation

Efficient quantification of pattern similarity between spatial genomics and cell morphology

Association Study between Diseases and Human Tissue-Specific Epigenomes

Application of Machine Learning Algorithms for Estimating Daily PM2.5 Concentrations

Genome-wide TWAS of brain and blood tissues identifies novel risk genes for Alzheimer’s disease dementia

Multi-tissue differential expression analyses between proxy case and control samples

Clustering the Liver Measures of Women Living with HIV

A benchmark of rare cell type detection methods for single-cell RNA sequencing data