Biostatistics: Course Descriptions

Course Number

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.
Learn more

PUBHBIO 8450

Credits: 3

Stochastic Epidemic Models

Introduces the basic methods for analyzing large population epidemic data from the viewpoint of the stochastic processes theory. The course will cover the basic SIR (susceptible‐ infective‐removed) epidemic models both under the homogenous and restricted contact structures.

Prerequisites: STAT 6801, 6540 or 7540; or permission of instructor.
Learn more

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.
Learn more

PUBHBIO 7899

Credits: 1‐3

Seminar in Biostatistics

Seminar on topics that are relevant to students enrolled in
programs in the Division of Biostatistics.

Prerequisites: Grand standing in Public Health and permission of instructor.
Learn more

PUBHBIO 6250

Credits: 3

Regression Methods for the Health Sciences

Multivariate regression methods on four problems – including logistic regression, count data regression, time‐to‐event analysis, and repeated measures data. Focused on model interpretation, hypothesis testing, confidence interval, confounding, interaction, and model selection. Illustrated with real data sets and analysis assignments.

Prerequisites: PUBHBIO 6211, or permission of instructor.
Learn more

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.
Learn more

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.
Learn more

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
Learn more

PUBHBIO 3193

Credits: 1‐6

Individual Studies in Biostatistics

Individual studies in Biostatistics focusing on applied topics.

Prerequisites: Permission of instructor.
Learn more

PUBHBIO 7193

Credits: 1‐6

Individual Studies in Biostatistics

Independent study in Biostatistics.

Prerequisites: Permission of instructor.
Learn more

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.

Prerequisites: Honors standing or permission of instructor.
Learn more

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.
Learn more

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
Learn more

PUBHBIO 8899

Credits: 1‐3

Doctoral Seminar in Public Health Biostatistics

Seminar for doctoral students in Biostatistics. Repeatable to a maximum of 9 cr hrs or 9 completions. This course is graded S/U.

Prerequisites: Permission of instructor.
Learn more

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.
Learn more

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.

Prerequisites: None
Learn more

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).
Learn more

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: 6211, STAT 6450, or 6950. Not open to students with credit for STAT 6605 (PUBHBIO 605).
Learn more

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.
Learn more

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
Learn more

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
Learn more

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.
Learn more

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.
Learn more

PUBHBIO 8235

Credits: 3

Advanced Regression Modeling of Time‐to‐Event Data

Advanced topics in survival analysis. Proportional hazards models, parametric regression models, length‐bias and prevalent sampling, multivariate survival analysis, counting
processes, recurrent events.

Prerequisites: STAT 6802 (622) and 6950. Not open to students with credit for 706 or STAT 7605. Cross‐ listed with STAT 7605.
Learn more

PUBHBIO 8230

Credits: 3

Advanced Longitudinal Data Analysis

Classical and modern statistical approaches for continuous and discrete longitudinal data. Random effects and growth curve models, measurement error, generalized estimating equations, estimation with missing data, multivariate longitudinal data.

Prerequisites: STAT 6802 (622) and 6950 (645). Not open to students with credit for STAT 7470 (726)
Learn more