Research

Faculty of the Division of Biostatistics are engaged in a wide variety of methodological research. Major areas of research include: Bayesian modeling, Biomedical image analysis, Causal inference, Clinical trials, Functional data analysis, Health economics, Joint modeling, Longitudinal methods, Missing data, Nonparametric and high-dimensional statistics, Prognostic models, Spatial analyses, Survey sampling, Statistical genetics/genomics, and Survival analysis.

Areas of application include: Aging, Bioinformatics, Cancer, Cardiology, Clinical epidemiology, Clinical trials, Comparative effectiveness research, Disparities research, Health services, Infectious diseases, HIV/AIDS, Medical imaging, Mental/behavioral health, Neurology/Neurodegenerative diseases, Obesity, Pharmacoepidemiology, Pediatrics/Neonatology, Psychiatry/Psychometrics, Genetics/Genomics, Translational sciences, Urology/renal diseases, Wearable computing sensors/accelerometry, and Women’s health

Methodological Research Tools led by Biostatistics faculty include:

Title Faculty Name Role
Functional Time Series Clustering (FTSC) J Richard Landis, PhD PI

Current Methodological Research grants led by Biostatistics faculty include:

Title Faculty Name Role
Statistical Methods for Cancer Absolute Risk Prediction Jinbo Chen, PhD PI
Statistical Methods and Software for Multivariate Meta-analysis Haitao Chu, PhD (U. Minnesota) PI
Yong Chen, PhD Site PI
Dynamic learning for post-vaccine event prediction using temporal information in VAERS Yong Chen, PhD MPI
Cui Tao, PhD (U. Texas) MPI
Semi-parametric Joint Models for Longitudinal and Time to Event Data Wensheng Guo, PhD MPI
Sarah Ratcliffe, PhD MPI
Statistical Methods for Phenotype Estimation and Analysis Using Electronic Health Records Rebecca Hubbard, PhD PI
Methods for Genomic Data with Graphical Structures Hongzhe Li, PhD PI
Statistical Methods for Transcriptome Profiling using RNA-Sequencing Mingyao Li, PhD PI
Elucidation of Tissue-Specific Transcriptomic Profiles in Cardiometabolic Disease Muredach Reilly, MBBCH, MSCE MPI
Mingyao Li, PhD MPI
Statistical Methods for Causal Inference in Observational Studies Qi Long, PhD PI
Statistical Methods for Missing Data in Large Observational Studies Qi Long, PhD PI
Development and assessment of decision supporting system for renal studies Amita Manatunga (Emory) PI
Qi Long, PhD Site PI
Non-Parametric Bayesian Methods for Causal Inference Jason Roy, PhD PI
Statistical Methods for Large and Complex Databases of Ultra High Dimensional Imaging Russell Taki Shinohara, PhD PI
Spatiotemporal Modeling of MRI Grain Lesion Trajectories of Biomarker Discovery Russell Taki Shinohara, PhD PI

Completed Methodological Research Awards led by Biostatistics faculty include:

Title Faculty Name Role
A Partially Linear Tree-Based Regression Model for Assessing Complex Joint Gene-G Jinbo Chen, PhD PI
Statistical Methods in Genetic Epidemiology Research Jinbo Chen, PhD PI
Genome-Wide Association Studies Using Integrated CNV and SNP Information Rui Feng, PhD PI
New Functional Models for Biomedical Data Wensheng Guo, PhD PI
Automatic Statistical Time-Frequency Analysis Wensheng Guo, PhD PI
Statistical Methods in Smoking Cessation Research Daniel Heitjan, PhD PI
Statistical Methods for Estimation of Benefits & Harms of Repeat Cancer Screening Rebecca Hubbard, PhD PI
Analysis of Case-Control Follow-Up Studies Marshall Joffe, MD, MPH, PhD PI
Estimating Causal Effects in Longitudinal Studies Marshall Joffe, MD, MPH, PhD PI
Causal Methods for Mediation and Interaction Marshall Joffe, MD, MPH, PhD PI
Instrumental Variable Methods for Longitudinal Discrete Data Marshall Joffe, MD, MPH, PhD PI
Selective and Future Ignorability in Causal Inference Marshall Joffe, MD, MPH, PhD PI
Joint Analysis of Longitudinal Outcomes & Clinical Events in Kidney Disease Tom Greene, PhD (U. Utah) MPI
Marshall Joffe, MD, MPH, PhD MPI
Liang Li, PhD (Cleveland Clinic) MPI
Statistical Methods for Next-Generation Sequence Data Hongzhe Li, PhD PI
Survival Models for Mapping Genes for Complex Diseases Hongzhe Li, PhD PI
Statistical Methods for Gene Mapping Studies in Admixed Populations Mingyao Li, PhD PI
Developing Statistical Methods For Disease Gene Discovery Chun Li, PhD (Vanderbilt U.) MPI
Mingyao Li, PhD MPI
Clinical Meaningful Measures from Complex Designs Russell Localio, JD, MA, MPH, MS, PhD PI
Applied Methods for Analysis of Interstitial Cystitis Kathleen Propert, ScD PI
Longitudinal Analysis for Diverse Populations Project Justine Shults, PhD PI
Causal Methods for Mediation and Interaction Thomas Ten Have, PhD PI
Mixed Effects Models - Discrete Data with Non-Compliance Thomas Ten Have, PhD PI