Biostatistics Track

Comparative Effectiveness Research (CER)/ Patient Centered Outcomes Research (PCOR)

Health services research is a multidisciplinary field that uses administrative and observational data to examine population-based patterns in health care delivery, with particular focus on utilization, cost, and the outcomes of care. CER translation to PCOR seeks to identify the right treatment, for the right patient, in the right setting. Our faculty has extensive experience analyzing a variety of data types, such as large survey data, Medicare, Medicaid, commercial insurance data, disease registry data and Electronic Medical Record data. Both survival analysis and multilevel analysis are widely used in this field. To address selection bias in CER/PCOR, analytical methods such as natural experimental design, propensity scores, instrumental variables, and sensitivity analysis are used. Our faculty has received substantial federal funding in this area.

Bioinformatics

Bioinformatics is an interdisciplinary field that focuses on methods and software tools for understanding biological data. Bioinformatics combines the skills of computer science, statistics, and mathematics to process and analyze biological data. Our faculty have extensive experience using a variety of biomedical sources such as genomics (including data resulting from microarray and next generation sequencing experiments), proteomics (including data resulting from 2-dimensional gel electrophoresis and mass spectrometry experiments), and metabolomics (including data resulting from nuclear magnetic resonance and mass spectrometry experiments). Additionally, we have experience with analytical methods such as multiple hypothesis testing correction, resampling techniques, logistic regression, classification and regression trees, random forests, and multivariate adaptive regression splines. Our faculty has received substantial federal funding in this area.

MPH Biostatistics Track

Curricular Plan 2017-2018

Course Number

Course Title

Professor

Credit Hours

Semester

Public Health Core Courses

PHS 6343

Biostatistics

Jennings

3

Fall 1

PHS 6330

Introduction to Epidemiology

Veeranki

3

Fall 1

PHS 6015

Foundations in Public Health

Rudkin

3

Fall 1

PHS 6324

Public Health Applications

Pennel

3

Fall 1

 

PHS 63XX

Health Policy and Management

Kaul

3

Spring 1

PHS 6014

Public Health Practice

Pennel

4 – 6*

Summer 1

Fall 2

Biostatistics Required Courses

PHS 6344

Introduction to Linear Models

Yu

3

Spring 1

PHS 6333

Epidemiological Methods

Veeranki

3

Spring 1

PHS 6374

Applied Survey Methods

Weller

3

Fall 2

PHS 6210

Introduction to Data Management

Yu

2

Fall 1

PHS 62XX

Statistical Consulting

Jupiter

2

Spring 1

PHS 6341

Categorical Data Analysis

Spratt

3

Fall 2

PHS 6313

Survival Data Analysis

Kuo

3

Spring 2

PHS 63XX

Correlated Data Analysis

Jennings

3

Summer 1

(alt)

PHS 63XX

Statistical Methods in Clinical Trials

Jennings

3

Summer 1

(alt)

Additional Required Courses

MEHU 6101

Ethics of Scientific Research

Various

1

Summer 1

PHS 6098

Thesis

Various

9

Fall 2

Spring 2

 

 

51-53 TOTAL

 

*Students with at least two years of full-time, post-baccalaureate, health-related work experience or dual-degree students take 4 credit hours, all other students take 6 credit hours of public health practice.
MPH Biostatistics Track

Term Schedule (Full-time Students)

FALL 1

 

3 PHS 6343 Biostatistics

 

3 PHS 6330 Introduction to Epidemiology

 

3 PHS 6015 Foundations in Public Health

 

3 PHS 6324 Public Health Applications

 

2 PHS 6210 Introduction to Data Management

 

 

14 credit hours

FALL 2

 

3 PHS 6341 Categorical Data Analysis

 

3 PHS 6374 Applied Survey Methods

 

0-2 PHS 6014 Public Health Practice Experience

 

3 PHS 6098 Thesis

 

 

 

 

9-11 credit hours

SPRING 1

 

3 PHS 6344 Introduction to Linear Models

 

3 PHS 6333 Epidemiological Methods

 

2 PHS 62XX Statistical Consulting

 

3 PHS 63XX Health Policy and Management

 

 

11 credit hours

SPRING 2

 

3 PHS 6313 Survival Analysis

 

6 PHS 6098 Thesis

 

 

 

 

 

 

9 credit hours

SUMMER 1

 

1 MEHU Ethics

 

3 PHS 6321 Correlated Data Analysis

OR

PHS 63XX Stat Methods for Clinical Trials

 

2-4 PHS 6014 Public Health Practice Experience

 

 

6 – 8 credit hours

MUST ENTER CANDIDACY

Other Resources

The Office of Biostatistics (OBIOS) http://pmch.utmb.edu/clinics-services/biostatistics-statistical-consulting
The Comparative Effectiveness Research (CER) Key Resource http://www.its.utmb.edu/resources/comparative_effectiveness_research.html
The Institute of Translational Science Biomedical Informatics Program http://www.its.utmb.edu/resources/biomedical_informatics/index.html
The Discovery and Innovative through Visual Analytic Laboratory (DIVA)http://www.skbhavnani.com/DIVA/contact.html

Contacts

Preventive Medicine and Community Health
Office of Biostatistics
University of Texas Medical Branch
301 University Blvd.
Galveston, Texas 77555-1110

p: (409) 772-6355
Yong-Fang Kuo, PhD
Yong-Fang Kuo, Ph.D.  
Director, Office of Biostatistics
UTMB ~ The University of Texas Medical Branch
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