Biostatistics header art

Office of Biostatistics Statistical Consulting

The Office of Biostatistics (OBIOS) has a primary responsibility for providing statistical support services to all faculty, staff and students at The University of Texas Medical Branch at Galveston (UTMB Health).

Initial consultations and grant development are provided at no cost. Statistical services may be paid for by including portions of a staff member's salary on funded projects or statistical services may be billed on an hourly basis.

Senior Biostatistician$150

Statistical Assistant/Data Entry fees are determined on a case-by-case basis.

OBIOS Consulting Service Policies and Expectations

OBIOS Grant Service Policies and Expectations

700 Harborside Drive
Ewing Hall, 1.134
Galveston, Texas 77555-1148

Phone: (409) 772-6355
Fax: (409) 772-9127

Office Hours:
Mondays-Thursdays, 8am - 5pm
Fridays, 8am - 12pm

Our Services

Biostatistics Statistical Consulting Services

Includes producing power calculations, determining sample size, designing studies that minimize the effects of measurement and experimental error, and identifying appropriate methods for data collection, summary and analysis.
Includes quantitative research that will produce improved methods and procedures to collect, manage, analyze and interpret biomedical data.  This usually occurs during a long-term collaboration between a UTMB researcher and a member of the Office of Biostatistics.
The OBIOS provides support for the computer package SAS® at UTMB. The OBIOS is the point of contact and provides expert support campus-wide for SAS®, a statistical software with extensive data management capabilities. The OBIOS also maintains and supports nQuery Advisor®, a software package for computing power and sample size; ArcGIS, a mapping and spatial analysis program; and TreeAge, a visual modeling tool for building and analyzing decision trees for cost-effectiveness analyses.
Includes developing project specific systems for data acquisition, scheduling, and modification. Data management includes maintaining data bases and preparing databases for analysis. Data analysis includes identifying and applying appropriate numerical procedures to allow valid statistical inferences
Are available to assist with the conceptualization, formulation, design, use and codification of these data gathering tools.  Pilot testing, training, operational evaluation and analytic support can be obtained on a project specific basis
The OBIOS maintains an insurance claims data base, Clinformatics DataMart, which contains the medical and pharmacy claims for more than 56 million enrollees, for academic training and research purposes. This database offers numerous opportunities for researchers who are interested in population studies. However, this type of database may require experienced programming, study design and analytic support. Contact Dr. Baillargeon ( for more information.



Yong-Fang Kuo, PhD

  • Expertise: Survival Analysis, Longitudinal Studies, Aging
  • Affiliations: PMCH Sealy Center on Aging, Internal Medicine

Jacques Baillargeon PhD

  • Expertise: Study Design, Pharmacoepidemiology, Health ServicesResearch
  • Affiliations: PMCH, Sealy Center on Aging

Kristofer Jennings, PhD

  • Expertise: Resampling Methods for Mixed Models and Dependent Data; Machine Learning and Nonparametric Smoothing; Multiple Testing Procedures
  • Affiliations: PMCH

Daniel C. Jupiter, PhD

  • Expertise: Computational Biology, Bioinformatics, Administrative Databases, Podiatry
  • Affiliations: PMCH

Heidi Spratt, PhD

  • Expertise: Bioinformatics, Classification Techniques, Machine Learning, Biomarker Discovery
  • Affiliations: PMCH, Biochemistry and Molecula Biology

Xiaoying Yu, PhD

  • Expertise: Study Design, Longitudinal Data Analysis, HIV
  • Affiliations: PMCH

Dong D. Zhang, PhD

  • Expertise: Cancer Surveillance and Control Research, Population Based Health Services Research, Medicare Data Warehousing
  • Affiliations: Sealy Center On Aging, Internal Medicine


Clark R. Andersen, MS

  • Expertise: Study Design, Mixed Linear Model, Generalized Additive Models, Resampling Methods
  • Affiliations: PMCH

Gwen Baillargeon, MS

  • Expertise: Biostatistician and SAS Certified Programmer, Data Management
  • Affiliations: PMCH and CMC

Winston Chan, MPH

  • Expertise: Logistic Regression, Data Management, Clarity Data Model EpicCare Inpatient Certified
  • Affiliations: PMCH

Lin-Na Chou, MS

  • Expertise: SAS® Certified Programmer, Clinical Trial, Data Analysis
  • Affiliations: PMCH

Allen Haas, MS

  • Expertise: Logistic Regression, Statistical Programming, Data Management
  • Affiliations: PMCH

Shuang Li, MD, PhD

  • Expertise: Generalized Linear Mixed Model, Categorical Data Analysis, Survival Analysis, High-Throughput Data Analysis
  • Affiliations: Sealy Center on Aging

Yu-Li Lin, MS

  • Expertise: Logistic Regression, Survival Analysis, Mixed Models, Data Management
  • Affiliations:PMCH

Jordan Westra, MPH

  • Expertise: Medicare Data, Data analysis, Data management
  • Affiliations: PMCH

Wei Zhang, MS

  • Expertise: Mixed Models, Logistic Regressions, Survival Analysis, Categorical Data Analysis
  • Affiliations: Division of Pulmonary Critical Care & Sleep Medicine

Jie Zhou, PhD

  • Expertise: Logistic Regression, Mixed Models, Data Management Affiliations: Sealy Center on Aging