Analytical Staff

MPH, University of Texas Southwestern

Research interests include: time-to-event analysis, clinical trials, competing risk event analysis, categorical data analysis, repeated measurements analysis, observational studies

MS, Biostatistics, Vanderbilt University

Primary collaboration: the Critical Illness, Brain Dysfunction, and Survivorship (CIBS) Center

Research interests include: causal inference, semiparametric g-computation, observational longitudinal data analysis

MS, Biostatistics, Vanderbilt University

Primary collaborations: Vanderbilt Specialty Pharmacy; Department of Physical Medicine and Rehabilitation

Current projects include: developing a standard measure of medication adherence and a clinical trial for rotator cuff tear treatment

Winner of the 2020 Linda Stewart Applied Analysis Report Award, presented annually to recognize an exceptional applied analysis report written by a staff biostatistician, for "Healthcare Costs and Utilization Project."

MS, Statistics, University of Georgia

Research interests include: time-to-event analysis, mixed-effects modeling, categorical data, power analysis, sample size calculation

MS, Applied Statistics, Purdue University

PhD, Microbiology, University of Alabama at Birmingham

MS, Biostatistics, Vanderbilt University

MS, Statistics, University of Texas at Dallas

MS, Mathematics, University of New Orleans

Primary collaboration: Department of Anesthesiology

Research focus/interests:  longitudinal data analysis, survival data analysis, categorical data, statistical analysis with missing data, mixed effects models

MS, Biostatistics, Vanderbilt University

MEd, Quantitative Methods, Vanderbilt University

Research interests include: statistical genetics, clinical trials, infectious diseases

MD, Shanghai Medical University

MS, Biostatistics, Middle Tennessee State University

Research interests include: clinical, epidemiological, and health policy outcomes; study design for clinical trial and cluster randomized trials; survey design; data analysis and causal inference for observational study

MS, Biostatistics, University of Michigan

MS, Biostatistics, Vanderbilt

Primary collaborations: Vanderbilt Center for Child Health Policy, on projects related to opioid prescription patterns as well as the analysis of health poll data; Veterans Affairs (VA) Medical Center, internal medicine and gastroenterology 

MA, Arizona State University

Collaborations include: Emergency Medicine study on acute heart failure; Influenza and Other Viruses in the Acutely Ill (IVY) Network

PhD, Ecology and Evolutionary Biology, University of Arizona

Research interests include: rare pediatric cancers (germline predisposition, biomarkers, precision medicine), bioinformatics, genomics, transcriptomics, advanced data analysis, data science, R

MS, Biostatistics, Vanderbilt University

MS, Statistics, Miami University (Oxford, Ohio)

Research interests include: sports science, time series analysis

PhD, Statistics, Cheng Kung University

Research interests include: functional data analysis; estimation of density partial derivatives; mode estimation; survival analysis; clinical trials; quantile regression with longitudinal data; single-cell RNA-seq normalization and clustering

MS, Biostatistics, Vanderbilt University

Research interests include: survival analysis; genomics

MS, Biostatistics, University of North Carolina

MS, Biostatistics, Vanderbilt University

Primary collaborations: Eye Institute; Department of Biomedical Informatics

Master of Applied Statistics, Pennsylvania State University 

Accredited Professional Statistician, American Statistical Association

Primary collaboration: Vanderbilt Memory & Alzheimer's Center

Research interests include: developing solutions to minimize the challenges associated with collaborations between statisticians and other scientists; cognitive linguistics among individuals with autism
 

MPH, Biostatistics, Loma Linda University

Collaborations include: Caribbean, Central and South America network (CCASAnet) for HIV epidemiology; VUMC Department of Psychiatry; FluTES and FluTES-C

Research interests include: advanced regression models, survival analysis, missing data techniques, causal inference methods for observational studies

Winner of the 2018 Linda Stewart Applied Analysis Report Award, presented annually in recognition of an exceptional statistical analysis report written by a staff biostatistician, for "Dolutegravir and Pregnancy Outcomes among ART recipients in Brazil: A National Study."

MS, Biostatistics, Vanderbilt University

MS, Biostatistics, University of Michigan

PhD, Molecular and Cellular Biology, Ohio University

Xiao Liu develops and applies bioinformatics tools to process, analyze, and interpret high throughput datasets, including DNA-seq, RNA-seq, ChIP-seq and single cell RNA-seq. He collaborates with groups across the institution to support research projects. His research seeks to identify the gene signatures associated with complex diseases, with emphases on colorectal cancer and Crohn’s disease.

MS, Biostatistics, Vanderbilt University

MS, Biostatistics, Vanderbilt University

Primary collaborations: Vanderbilt Specialty Pharmacy; Advanced Artificial Intelligence Laboratory (AVAIL)

MS, Biostatistics, Middle Tennessee State University

MS, Statistics, Colorado State University

MS, Mathematics, Bilkent University, Turkey

Primary collaboration: The Critical Illness, Brain Dysfunction, and Survivorship (CIBS) Center

Winner of the 2020 Linda Stewart Applied Analysis Report Award, presented annually in recognition of an exceptional statistical analysis report written by a staff biostatistician, for the "Vitamin D to Improve Outcomes by Leveraging Early Treatment: Long-term Brain Outcomes in Vitamin D Deficient Patients (VIOLET-BUD)" statistical analysis report.

MS, Biostatistics, University of Pittsburgh

MPH, Epidemiology, Texas A&M University

MS, Biochemistry, Universidad Nacional Autónoma de México

Research interests include: small RNA sequencing and single cell sequencing data

MS, Biostatistics, University of North Carolina

Skills and certifications include: categorical, longitudinal data, and survival analysis; sample size and power calculation; OLS, GLM and web scraping; machine learning; signal and image processing

Research interests include: imaging, air pollution, epidemiology

MS, Statistics, University of Iowa

Research interests include: prediction modeling, categorical data, mixed effects modeling, time-to-event data, repeated measures, longitudinal data.

MS, Statistics, North Carolina State University

Collaborations include: Respiratory Virus Transmission Network (RVTN), Influenza and Other Viruses in the Acutely Ill (IVY-4)

Research interests include: clinical trials, longitudinal data analysis, data management

MS, Statistics, University of Vermont

Research interests include: infectious diseases, survival analysis, categorical data analysis, trials design

Areas of collaboration: pediatric infectious diseases, neonatology, hematology

MS, Biostatistics, Middle Tennessee State University

PhD, Crop Science, Zhejiang University

Research interests include: cancer immunotherapy, clinical endpoint, drug development

MPH, Epidemiology, University of Alabama at Birmingham

Primary collaboration: IVY-4 (Influenza and Other Viruses in the Acutely Ill)

Research interests include: epidemiology, molecular biology, and bacteriology

MS, Biostatistics, University of Minnesota

Research interests include: Bayesian approaches to meta-analysis

MS, Statistics and Biological Engineering, University of Georgia

Primary collaboration: Vanderbilt Institute for Clinical and Translational Research (VICTR).

Research interests include: clinical prediction models, pragmatic clinical trials, statistical computing, mixed-effects models, time-to-event analysis

PhD, Crop Science (Bioinformatics branch), Zhejiang University

Research interests include: bioinformatics, population genetics, molecular evolution, non-coding small RNAs, translation informatics, immunotherapy in cancer.

MS, Statistics, University of Idaho

MS, Applied Statistics, Purdue University

PhD, Chemical Biology, Nankai University (China)

Research interests include: generalized linear models; mixed effects modeling; longitudinal data analysis; categorical data analysis; time-to-event data analysis; computer-assisted drug discovery

MS, Biostatistics, University of Iowa

MS, Applied Mathematics, University of Toledo

Expertise includes: prediction modeling, linear regression, generalized linear regression, categorical data analyses, repeated measures, mixed-effects models, survival analysis, clinical trials, power and sample size justification, statistical computing, microarray data analysis, polymerase chain reaction (PCR) data analysis, machine learning, and data mining. In addition, he is proficient in the use of R and SAS and has considerable experience in conducting and analyzing data from molecular and genetic epidemiology studies of cancer.

Projects include: genetic studies from large consortia, including the Breast Cancer Association Consortium, Ovarian Cancer Association Consortium, and Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome.