Course Catalog

The College of Public Health list of course descriptions is not meant as a replacement to the official University Course Catalog created by the University Registrar, however it represents all courses offered by the College of Public Health. Courses numbered 4000 and below are undergraduate level, courses numbered 5000 level are undergraduate/graduate, and courses 6000 level and higher are graduate level.

Helpful course terminology:

PUBHBIO = Public Health Biostatistics
PUBHEHS = Public Health: Environmental Health Sciences
PUBHEPI = Public Health: Epidemiology
PUBHHBP = Public Health: Health Behavior and Health Promotion
PUBHHMP = Public Health: Health Services Management and Policy
PUBHLTH = Public Health

PUBHBIO 2210

Credits: 3

Biostatistics for Public Health Research

Hands-on experience using statistical tools to answer real-world questions. Students will design and implement a short survey and analyze their results. Emphasis on analysis of actual survey data using statistical software. Statistical topics include numerical/graphical summaries, measures of association, and hypothesis testing. Focus is on interpretation, not calculation.
GEN foundation math and quantitative reasoning or data analysis course.

Prerequisites: None

PUBHBIO 2210H

Credits: 3

Honors Biostatistics for Public Health Research

Hands-on experience using statistical tools to answer real-world questions. Students will design and implement a short survey and analyze their results. Emphasis on analysis of actual survey data using statistical software. Statistical topics include numerical/graphical summaries, measures of association, and hypothesis testing. Focus is on interpretation, not calculation. GEN foundation math and quantitative reasoning or data analysis course.

Prerequisites: Honors standing or permission of instructor.

PUBHBIO 3193

Credits: 1‐6

Individual Studies in Biostatistics

Individual studies in Biostatistics focusing on applied topics.

Prerequisites: Permission of instructor.

PUBHBIO 5280

Credits: 3

Introduction to Genomic Data Analysis

Provides an in‐depth analysis of a specific question to which genomic methods are applied. Intersperses experimental methods and statistical analysis of biological data. Some experience with programming is recommended.

Prerequisites: Jr. standing or above, and Math 1151 or 1156, STAT 2450 or 2480, and Biology 1113 or MolGen 5660, or Grad standing; or permission of instructor.

PUBHBIO 6210

Credits: 3

Applied Biostatistics I

Theory and application of basic statistical concepts for design of studies in health sciences, integrated with statistical
software applications.

Prerequisites: Grad standing.

PUBHBIO 6211

Credits: 3

Applied Biostatistics II

A second course in applied biostatistical methods with an emphasis on regression methods commonly used in the health sciences. The focus is on linear regression and ANOVA. Integrated with use of computer statistical packages.

Prerequisites: Grade of B‐ or above in PUBHBIO 6210 or PUBHLTH 6001 or permission of instructor.

PUBHBIO 6250

Credits: 3

Regression Methods for the Health Sciences

A second course in regression modeling for public health, including models for binary outcomes, count outcomes, survival/censored outcomes, and data collected from complex survey designs.

Prerequisites: PUBHBIO 6211, or permission of instructor.

PUBHBIO 6260

Credits: 1

Ethics in Biostatistics

The course examines ethical challenges related to research design, data collection, data integrity and stewardship, data analysis and interpretation, and data reporting in the conduct of public health and biomedical research. Through presentation of historical and current case studies we discuss ethical concerns commonly faced by biostatisticians and provide tools to address future quandaries.

Prerequisites: Prerequisites: Enrollment in MPH-Biostatistics specialization, or MS-Biostatistics specialization, or Interdisciplinary PhD in Biostatistics, or permission of instructor

PUBHBIO 6270

Credits: 2

Introduction to SAS for Public Health Students

Introduction to programming using SAS software to accomplish
public health data management and analysis.

Prerequisites: Grad standing in PUBHLTH, or permission of instructor. Not open to students with credit
for STAT 5740, or 6740.

PUBHBIO 7193

Credits: 1‐6

Individual Studies in Biostatistics

Independent study in Biostatistics.

Prerequisites: Permission of instructor.

PUBHBIO 7194

Credits: 1‐3

Group Studies in Biostatistics

Group studies in biostatistical methods. Format will include
lectures, readings, presentations and discussions in an area of special interest to students and faculty.

Prerequisites: Permission of instructor.

PUBHBIO 7215

Credits: 2

Design and Analysis of Clinical Trials

Design, monitoring, and analysis of clinical trials; includes protocol development, randomization schemes, sample size
methods, and ethical issues.

Prerequisites: Stat 5301, or PUBHBIO 6210, PUBHLTH 6001 or equiv; or permission of instructor.

PUBHBIO 7220

Credits: 3

Applied Generalized Linear Models in Public Health

Introduce students to generalized linear models (GLMs) for categorical and discrete data and their application in clinical and public health research.

Prerequisites: PUBHBIO 6211 or permission of instructor

PUBHBIO 7225

Credits: 3

Survey Sampling Methods

Sampling from finite populations, simple random, stratified, systematic and cluster sampling design, ratio and regression
estimates, non‐sampling errors, models.

Prerequisites: PUBHBIO 6211, or Stat 5301 or equiv.

PUBHBIO 7230

Credits: 3

Applied Longitudinal Data Analysis

Statistical models and methods for the analysis of data arising
from longitudinal studies with repeated measurements on subjects over time.

Prerequisites: 6211, or Stat 6450, or Stat 6950

PUBHBIO 7235

Credits: 3

Applied Survival Analysis

Introduction to time‐to‐event data analysis. Kaplan‐Meier estimation, log rank tests, proportional hazards regression analysis for censored or truncated data with extensions to time‐ dependent covariates and model building.

Prerequisites: PUBHBIO 6211 or STAT 6450 or STAT 6950 or permission of instructor. Not open to students with credit for STAT 6605

PUBHBIO 7240

Credits: 3

Applied Statistical Analysis with Missing Data

Models and methods for the dataset with missing values, including imputation, likelihood‐based, and Bayesian models.

Prerequisites: 6211, or Stat 6201, or 6302, or 6802, or 6302, or 6450, or 6950 or permission of instructor.

PUBHBIO 7245

Credits: 2

Biostatistical Collaboration

Basic biomedical research methodologies; collaborate with biomedical researchers to design experiments and plan analyses; protocol preparation; professional skills
development; statistical report preparation.

Prerequisites: Not open to students with credit for STAT 7755 (PUBHBIO 709). Cross‐listed in Stat 7755 (Biostat 709).

PUBHBIO 7250

Credits: 1‐6

Special Topics

Regular class on special topics in biostatistics. Format will include lectures, readings, presentations and discussions in an area of special interest to students and faculty.

Prerequisites: Permission of instructor.

PUBHBIO 7255

Credits: 3

Introduction to Causal Inference in Health Science Research

This is an introduction course to the commonly used statistical methods for causal inference. The course starts with potential outcome framework as the conceptual foundation for inferring
causality.

Prerequisites: B‐ or higher in PUBHBIO 6211, or permission of instructor