Oregon Health Sciences University (OHSU) and Portland State University (PSU) School of Public Health

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Course Directory

Course Catalogs

Fall 
FL18 Grad Courses (6/8)
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Sept – Dec

Winter
WR19 Grad Courses
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Jan – March

Spring
SP18 Grad Courses 
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April – June

Summer
SUM18 Grad Courses (5/10)
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Varies: June – Sept

Courses by Program

Applied Practice Experience – CPH 513

Course Code Credit Terms Offered Instructors Course Delivery

CPH 513

1

Fall
Winter
Spring
Summer

Lisa Hatfield, EdD

On Campus
Online

Course Information

The Applied Practice Experience course will facilitate development and completion of a portfolio that requires students to demonstrate attainment of selected competencies. Students will study portfolio use and development in higher education.

Prerequisites

It is recommended that students have completed at least 18 credits of their MPH program to have garnered enough experiences to be used in the portfolio assignment. Students will not be allowed to register for this course during their first term of their MPH program.

Bayesian Methods for Data Analysis – BSTA 521

Course Code Credit Terms Offered Instructors Course Delivery

BSTA 521

3

Spring

Rochelle Fu, PhD

On Campus

Course Information

The methods students learned in the biostatistical applied and theoretical sequences were based on the “frequentist” method of statistical reasoning, where probability is understood to be the long-run frequency of a ‘repeatable’ event, and statistics that are computed are based on a specific study only. Bayesian methods are based on a different philosophy – that probability of an event is based on ALL information known at the time. Bayesian methods for data analysis enable one to combine information from previous similar and independent studies (prior information), with information from a new study, yielding updated inference for model parameters. This course will cover the concept of Bayesian analysis, posterior distribution, Bayesian inference and prediction, prior determination, one parameter and two parameter models, Bayesian hierarchical models, Bayesian computation, model criticism and selection as well as basic comparison of Bayesian and Frequentist Inferences. Real life examples in medical and health science will be used to explain the concept and application of Bayesian models.

Prerequisites:

  1. BSTA 511/611 Estimation and Hypothesis Testing for Applied Biostatistics
  2. BSTA 612/613 Linear Models
  3. BSTA 550 Introduction to Probability
Prerequisites

BSTA 511/611 Estimation and Hypothesis Testing for Applied Biostatistics, BSTA 612/613 Linear Models, BSTA 550 Introduction to Probability

BIOST Thesis – BSTA 503

Course Code Credit Terms Offered Instructors Course Delivery

BSTA 503

1-3

Fall
Winter
Spring
Summer

Rochelle Fu, PhD

On Campus

Course Information

Advance permission from the Program Director.

Biostatistics Lab – BSTA 510

Course Code Credit Terms Offered Instructors Course Delivery

BSTA 510

3

Fall
Winter
Spring
Summer

Dongseok Choi, PhD

On Campus

Course Information

The course provides hands-on data analysis and/or biostatistical consulting experience to students outside classroom settings. Students will have opportunities to perform data analysis with inputs from faculty members.

Prerequisites:

  1. Students should have adequate skills in at least one statistical program among STATA, SAS or R
  2. BSTA 511/611 Estimation & Hypothesis Testing for Applied Biostatistics
  3. BSTA 512/612 Linear Models

Categorical Data Analysis – BSTA 513

Course Code Credit Terms Offered Instructors Course Delivery

BSTA 513

4

Spring

Yiyi Chen, PhD

On Campus

Course Information

This course covers topics in categorical data analysis such as cross tabulation statistics, statistics for matched samples, and methods to assess confounding and interaction via stratified tables. Students will learn logistic regression, and relate results back to those found with stratified analyses. Similar to linear regression in BSTA 512, topics for logistic regression will include parameter interpretation, statistical adjustment, variable selection techniques and model fit assessment. Students will have the opportunity to briefly explore other analysis methods, such as Poisson regression, ordinal logistic regression, etc. Most homework assignments for this course are to be completed using statistical software.

Prerequisites:

  1. BSTA 511/611 Estimation & Hypothesis Testing for Applied Biostatistics
  2. BSTA 512/612 Linear Models

**Note: This course is offered at OHSU, and is cross-listed at PSU as STAT 577. PSU students who wish to take this course must submit an intercampus registration form.

Chemical Transport Processes in Env. Health – ESHH 534

Course Code Credit Terms Offered Instructors Course Delivery

ESHH 534

3

Spring

On Campus

Course Information

This course covers fundamental concepts of chemical mass transport in the environment and within the human body. It addresses advective and diffusive transport, and dispersion in advection-driven systems. Media include air, water and soil as well as the major organs of the body. Transport scales range from global to cellular.

Chronic Disease Epidemiology – EPI 576

Course Code Credit Terms Offered Instructors Course Delivery

EPI 576

2

Spring

Kevin Winthrop, MD, MPH; Thomas Becker, MD, PhD

On Campus

Course Information

This course is designed for MPH Epidemiology and Biostatistics majors. The course is intended to give students a good understanding of the epidemiology of the major chronic diseases in developed countries. It covers three aspects of chronic disease: 1) epidemiology methods used in their study, 2) epidemiologic findings and current status of epidemiologic research into various chronic diseases, and 3) the epidemiology of the major risk factors for chronic diseases. The course is based on presentations by researchers and public health practitioners expert on specific chronic disease topics. Students will gain familiarity with some of the classic epidemiologic studies and with some of the innovations to obtaining knowledge contributed by epidemiology.

Prerequisite: EPI 512, “Epidemiology I”

Communicable-Chronic Diseases – PHE 363

Course Code Credit Terms Offered Instructors Course Delivery

PHE 363

4

Summer

Claire Wheeler

On Campus

Course Information

Reviews etiology, epidemiology, and approaches to prevention of infectious and chronic diseases. Aspects of risk factors, transmission, pathogenesis, immunology, case management, and control programs are discussed. Basic human physiological processes are reviewed.

Recommended prerequisites: Bi 301, 302, PHE 250.

Level: Undergraduate

Communicating Public Health Data – CPH 522 / 622

Course Code Credit Terms Offered Instructors Course Delivery

CPH 522 / 622

3

Spring

Katherine Bradley, PhD

Online

Course Information

Coming Soon!

 

Community Based Participatory Research – CPH 536/636

Course Code Credit Terms Offered Instructors Course Delivery

CPH 536/636

3

Spring

Nancy Findholt, RN, PhD

Online

Course Information

This course examines Community-Based Participatory Research (CBPR) as a research paradigm to understand and address health disparities at the community level. Review of operating principles includes the central place that communities are accorded as units of identity and as co-equals in research, a process that is perceived by community constituents as not dominated by elitists, an emphasis on long-term commitment by all partners, emphasis on co-learning so that the process flows back and forth, use of exercises that stimulate collective visioning among all partners, incorporation of social ecology approaches as departures for research and practice; use of innovative problem solving approaches; use of multiple methods of data collection. Topics include community theory, development strategies, promising interventions, group development techniques, community diagnosis and capacity assessments.

Prerequisites: None

Community Health – EPI 507

Course Code Credit Terms Offered Instructors Course Delivery

EPI 507

1

Fall

Atif Zaman, MD, MPH; John Stull, MD, MPH

On Campus

Course Information

This course will meet weekly during the Fall quarter in a presentation-discussion style format. It will introduce students to community resources for addressing a range of health problems that are encountered in both clinical and a public health settings. Students will also be introduced to ways of identifying and accessing those services in their own work.

Prerequisites: Current graduate standing or instructor approval.

Community Health Principles & Practices – PHE 446U

Course Code Credit Terms Offered Instructors Course Delivery

PHE 446U

4

Summer

Judith Sobel

Online

Course Information

Provides an overview of the scope of problems in the field of community health. Examines disease prevention/control, community health service delivery, the structure of official/unofficial agencies, and policy/decision-making processes. Course includes field work in a community health agency.

Level: Undergraduate

Community Organizing – PHE 517

Course Code Credit Terms Offered Instructors Course Delivery

PHE 517

3

Spring

On Campus

Course Information

Emphasizes the role of community organizing to engage diverse communities to advance the conditions in which people can be healthy. It further examines the role of health educators, grassroots activists, and others in stimulating social, political and economic approaches to promote community health. Also addresses the advancement of theoretical knowledge and practical skills of community organizing.

Prerequisites:None

Concepts of Environmental Health – ESHH 511 / 611

Course Code Credit Terms Offered Instructors Course Delivery

ESHH 511 / 611

3

Fall
Winter
Spring
Summer

Johnson / Lambert / Marriott

On Campus
Online

Course Information

An intensive course designed to familiarize students with fundamentals of environmental health from a scientific and conceptual perspective. Topics are considered within multi-causal, ecological, adaptive systems, and risk-assessment frameworks. Includes consideration of biological, chemical, and physical agents in the environment, which influence public health and well-being.

Doctoral students register for the ESHH 611 section.

Consumer Health Issues – PHE 355U

Course Code Credit Terms Offered Instructors Course Delivery

PHE 355U

4

Summer

Bernie Lau

On Campus

Course Information

Identifies and critically analyzes issues related to the production, marketing, and consumption of health-related goods and services. Media messages about consumer health issues are examined; topical and timely research is analyzed.

Level: Undergraduate

Current Issues in Public Health – CPH 507A

Course Code Credit Terms Offered Instructors Course Delivery

CPH 507A

3

Summer

Kirstin Crusoe, EdD, MSN

Online

Course Information

The purpose of this course is to analyze current and controversial issues in public health. The course provides an opportunity to discuss, analyze, make recommendations for and examine policy outcomes of issues, practices and current and historically controversial public health events.

Prerequisites: None

Current Issues in Public Health – EPI 566

Course Code Credit Terms Offered Instructors Course Delivery

EPI 566

2

Winter

David Buckley, MD, MPH

On Campus

Course Information

This course is designed to introduce students to public health in a seminar-style (presentation-discussion) exploration of the basic principles, structures, and functions of public health, and selected important issues in the public health community. This will involve inviting public health and preventive medicine professionals from OHSU, PSU, and the community to present, and facilitate discussion of, their perspectives and current work related to these public health topics and issues.

Prerequisites

Current graduate standing or instructor approval.

Data Management & Analysis in SAS – BSTA 515

Course Code Credit Terms Offered Instructors Course Delivery

BSTA 515

3

Fall

Xinbo Zhang, PhD

On Campus

Course Information

This course is designed for students who want to develop and expand their skills in data management, statistical analyses and graphics for the real world applications using SAS. After brief introduction, the course will cover intermediate to early advanced level programming skills in SAS. The class will be taught in a computer lab in order to give the student hand on experience using SAS to manage data, perform analyses and produce graphs. Class sessions and homework will be oriented around particular data management and analysis tasks. Health-related data sets will be provided for students to use. This course could be extremely helpful in preparation for thesis, capstone or other research projects.

Prerequisites:

  1. BSTA 511/611 Estimation & Hypothesis Testing for Applied Biostatistics
  2. BSTA 512/612 Linear Models

Design and Analysis of Surveys – BSTA 516

Course Code Credit Terms Offered Instructors Course Delivery

BSTA 516

3

Spring

Thuan Nguyen, PhD

On Campus

Course Information

This course is designed to introduce basic concepts, techniques, and current practice of sample survey design and analysis with emphasis on community health surveys. Specific topics covered include introduction to instrument design and evaluation, and statistical sample design (including simple random sampling, systematic sampling, stratified random sampling, cluster sampling, multistage sampling, and replicated sampling). Examples of complex designs will be drawn from telephone surveys, the Current Population Survey and various health surveys of National Center for Health Statistics (NCHS). Topics in estimation and analysis include probability weighting, weight adjustments based on auxiliary data, ratio and regression estimators, and methods for estimating variance from complex surveys. Analysis of complex data will be illustrated using STATA 13 and R and taking examples from complex surveys of NCHS.

Prerequisite: BSTA 511/611 Estimation & Hypothesis Testing for Applied Biostatistics

Design of Experiments: Statistical Principles of Research Design and Analysis – BSTA 523

Course Code Credit Terms Offered Instructors Course Delivery

BSTA 523

3

Spring

Byung S. Park, PhD

On Campus

Course Information

This course covers an experimental design and statistical analysis of biological/clinical data from various experiments. This course provides not only theoretical aspect of experimental design but also hand-on experience in designing and analyzing experiments. The course begins design principles that include concepts of replication, randomization, blocking, multifactor studies, and confounding. Basic matrix algebra concepts will be explored to establish the basis for linear models. Students, then, are introduced to various experimental designs including analysis of variance (ANOVA) in both single and multi-factorial setting, experiments to study variances, complete/incomplete block designs (CBD), split plot design, repeated measures ANOVA, analysis of covariance (ANOCOVA), response surface design, and diagnosing agreement between the data and model. The course also provides experience in analyzing unbalanced experimental. Computer application is included as part of the course to introduce students to data management, reading output, interpreting and summarizing results.

Prerequisites: BSTA 511/611 Estimation & Hypothesis Testing for Applied Biostatistics or equivalent.