Novel Statistical Methods for Analyzing Gene Expression Data

Statistical Method for Studying Genome-Wide Interaction and the Natural History of Alzheimer’s Disease

Temperature and Respiratory Emergency Department Visits: A Mediation Analysis with Ambient Ozone Exposure

Recovering Tumor Subtypes and Aneuploidy Patterns in Prostate Cancer Using Spatial Transcriptomics

Proteome-Wide Association Analysis of Alzheimer's Disease Using Cerebrospinal Fluid Protein Data

Multi-task learning of cognitive functions using brain connectome data

Comparison of clustering methods for data with missing values

Bayesian Classification with Split-and-merge Gaussian Process (SMGP) Prior in EEG-based Brain-Computer Interfaces

Assessing Racial Disparities in Healthcare Expenditures Using Causal Path-Specific Effects

Empirical Study of Power for LR vs. Wald Tests Under a Coincidence Paradigm for Binary Outcomes

Investigation of the association between preterm infants’ red blood cell transfusion risk and maternal-neonatal characteristics

Estimating County-Level Opioid-Related Mortality in Georgia Using a Bayesian Conditional Autoregressive Model

Bias Correction under Measurement Error: A Comparative Study of Extrapolation Strategies in the SIMEX Framework

An Adaptive Bayesian Calibration Approach with Reduced Training Effort in P300 ERP-Based Brain-Computer Interfaces

Systematic Evaluation of Spatial Transcriptomics Alignment Methods

Joint Angle Gait Features Outperform Scalar Gait Metrics in Differentiating Parkinson’s Disease from Essential Tremor

Adaptive Semi-Supervised Training of P300 ERP-BCI Speller System with Minimum Calibration Effort

A Bayesian Hierarchical Spatial Mapping Approach to Assess Gestational Diabetes Mellitus Risk Among Immigrant Populations in Georgia

Cell-type-specific Transcriptomic-wide Association Studies Detected 80 Independent Risk Genes for Alzheimer’s Disease Dementia

Early Detection of Neonatal Infection in NICU Using Machine Learning Models

A Phenome-Wide Association Studies in a GWAS with application to the UK Biobank

AI-driven Models with Effective Feature Selection Accurately Predict ICU Admission after Laparoscopic Cholecystectomy

Bayesian Tree-Based Methods for Environmental Health Research

Statistical approaches for understanding and addressing preferential sampling in model-based geostatistics

Surveilling Spatially Concentrated Disease Patterns: A Bayesian Approach to Understanding Tuberculosis in the United States

Advanced Statistical Methods for Brain Connectivity Analysis

Innovative methods for investigating the genetic architecture of complex human traits

Novel Machine Learning Methods for Genomic Data Analysis

Unraveling the Impact of Fuzzy Similarity Algorithms on Missing Data Imputation of Heart Bypass Surgery Cohort

Evaluating the Association of COVID-19 Vaccination and New-Onset Diabetes as an Outcome

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

Analysis of Simultaneous Eye-tracking and fMRI Data Collected in Children with ASD

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

Identify Unique Subtypes in Recurrent Major Depression Disorder

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

Methods for Improving Doubly Robust Estimators of Treatment Effects for Observational Studies and Randomized Trials

Statistical Methods for Disease Surveillance Based on Multiple Data Streams

Advances in Causal Inference to Support Vaccine Development and Evaluation

New Statistical Methods for Analyzing Microbiome Data

Capture-Recapture Methodology for Epidemiological Surveillance Accounting for Misclassification of Disease Status

Deciphering the Cell Type Specific Activities from High-throughput Omics Data

Flexible and Robust Methods for Evaluating Covariate Effects on Biomedical Outcomes

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

Exploring the Genetics and Biological Pathways of Obesity through Computational Biology and Statistical Approaches

Statistical methods for modeling the association between repeated measures of hemoglobin during pregnancy and adverse birth outcomes

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

Using Negative Exposures to Partially Control for Unmeasured Confounders in Time-Series Analysis of Air Pollution and Health

Investigation of predictability of photo images from different anatomic regions for detecting anemia among preterm infants

Clustering the Liver Measures of Women Living with HIV

Iron Biomarker Profiles and Prediction of Iron Deficiency Anemia among Women of Reproductive Age in the US

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

Bias in Vaccine Effectiveness Estimation Under Changing Testing Probabilities When Using the Test-Negative Design

Selection bias and permutation tests in fMRI

Adjusting for selective attrition in a longitudinal study assessing the rate of cognitive decline

Potential biomarkers for ALS/FTD as a consequence of TDP-43 loss of function

Association between drug usage time and gene expression-based pathway score in HNSCC patients

Dynamic prediction of survival status in patients undergoing cardiac catheterization using a joint modeling approach

Evaluating the performance of maximum likelihood estimation in a discriminant function framework to account for non-detectable exposure measurements in matched case-control studies

Methylation Imputation from HM450K Array to EPIC Array with Autoencoder and Nonnegative Matrix Factorization

Methods for Improving the Interpretability and Evaluation of Machine Learning Models and Decision Making Systems

Associations between short-term exposure to ambient air pollution and emergency department visits for cardiovascular diseases in thirteen U.S. cities

Statistical Methods for Analyzing Microbiome Data

Probabilistic clustering of complex biomarker data for Alzheimer’s Disease

Statistical Methods for Analyzing Compositional Human Microbiome Data

Statistical Methods for Mediation Analysis of Omics Data

Brain Network-Based Statistical Approaches for Neuroimaging Data

Prediction Approaches for High-dimensional and Complex Neuroimaging Data

Improvements in statistical machine learning for current problems in public health

Prediction of CBC Hemoglobin Levels for Preterm Infants: Evaluation of Anatomic Regions for Smartphone Photos

Correlation analysis between MRI brain image and gene expression using ADNI data.

Integrate Proteomics Data with GWAS Summary data for Studying Alzheimer’s Disease by Nonparametric Bayesian Method

Time-series Analysis of Seasonal Influenza Activity and Preterm Birth in Atlanta, Georgia from 2010 to 2015

Bayesian Functional Genome-wide Association Study using Standardized Individual-level and Summary-level GWAS Data

Relaxed Conditional Bootstrap Inference for Sparse Data Under a Rectangular Array Embedding

Ambient Air Pollution Estimation Using Bayesian Hierarchical Models

Topics in Data Integration Methods for Neuroimaging and Generalized Additive Mixed Models for Ambulatory Blood Pressure Curves and Psychosocial Stressors

Flexible Methods to Incorporate Covariates in Latent Class Analysis

New Statistical Methods for Complex Survival Analysis Problems

Latent Class Methods for Complex Chronic Disease Data

Characterizing the Developmental Trajectories for Cerebellar Volumes via Penalized Splines and Derivative Analysis

The effect of ambient air pollution on term birth weight and preterm birth in Kansas, 2005-2013

Comparing Methods to Handle Missing Data in the Estimation of Population Attributable Factors of Anemia in Preschool Children

The Application of Spatial Regression Analysis in Examining the Relationship Between Drinking Water Contaminants and Cancer Incidence Rates in Iowa and Illinois

The Confounders Imbalance vs. Choices between Multiple Regression and Propensity Score Approaches

Preterm birth, stillbirth and ambient air pollution in Georgia, 2006 to 2013

Statistical Inference Concerning Minimal Mortality of Patients with Congenital Heart Defects after Surgical Repair

Transcriptome Sequencing of Peripheral Blood Reveals Distinct Expression Landscapes of COVID-19 and MIS-C Patients