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 (8/9)
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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

Advanced Health Policy – HSMP 575

Course Code Credit Terms Offered Instructors Course Delivery

HSMP 575

3

Spring

Neal Wallace, PhD

On Campus

Course Information

Provides students focusing on health policy analysis or advocacy the opportunity to explore specific areas of health policy in-depth. Taught as a seminar with students required to select two policy areas, develop readings and questions, and lead class discussion facilitated by the instructor. Coursework emphasizes the understanding, identification and development of successful and sustainable health policy including preparation of four brief, structured policy proposals.

Prerequisite: HSMP 571

Prerequisites

HSMP 571

Advanced Principles of Health Behavior – PHE 612

Course Code Credit Terms Offered Instructors Course Delivery

PHE 612

3

Fall

Claire Wheeler, MD, PhD

On Campus

Course Information

Provides advanced training in the application of social and behavioral sciences to understand health behavior and prevent disease. Emphasizes theories and concepts of health behavior and the impact of lifestyle choices on the distribution of disease in the population.

Applied Longitudinal Data Analysis – BSTA 519

Course Code Credit Terms Offered Instructors Course Delivery

BSTA 519

3

Fall

Rochelle Fu, PhD

On Campus

Course Information

This course is designed for students who have taken the basic applied statistical courses and wish to learn the more advanced statistical methods for longitudinal data. Longitudinal data consist of measurements of response variables at two or more points in time for many individuals. This course covers the statistical properties of longitudinal data and special challenges due to the repeated measurements on each individual, exploratory methods and statistical models for longitudinal data as well as some exposure to estimation methods and statistical properties of estimates. For statistical methods, the course will briefly cover the more traditional repeated measure analysis of variance (ANOVA) approach for continuous data, and focus more on mixed effects model approach and estimation based on generalized estimating equation. Real life examples will be used to explain the concept and application of these models by using continuous, binary and count data. Homework assignments and final class project play a central role to understand and appropriately apply the methods covered in the course.

Minimum grade of “B” is required to pass this course.

Prerequisites:

  1. BSTA 511/611 Estimation and Hypothesis Testing for Applied Biostatistics
  2. BSTA 512/612 Linear Models
  3. BSTA 513/613 Categorical Data Analysis

Applied Practice Experience – CPH 513

Course Code Credit Terms Offered Instructors Course Delivery

CPH 513

1

Fall
Winter
Spring

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.

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.

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.

Minimum grade of “B” is required to pass this course.

Offered in Spring term in even years only.

Prerequisites

BSTA 511/611 Estimation and Hypothesis Testing for Applied Biostatistics, and BSTA 512/612 Linear Models, and 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.

This is graded as Pass / No Pass only.

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.

Students meet weekly for 1 hour with the course instructor for discussion on their projects and are also encouraged to have regular meetings with an assigned faculty advisor and/or consultee(s). Students are expected to work individually or in a team of 2~3 on actual data analysis. The workload will be at least 9 hours per week including all activities (classes, meetings, readings, coding, and analysis).

Minimum grade of “B-” is required to pass this course.

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 / 613

Course Code Credit Terms Offered Instructors Course Delivery

BSTA 513/613

4

Spring

Yiyi Chen, PhD

On Campus

Course Information

Categorical Data Analysis (Biostatistics III) is the third course in the required sequence for Biostatistics Certificate Program and the MPH EPI and MPH Biostats programs.

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

Doctoral students register for the BSTA 613 section.

**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

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.

Prerequisites

"Epidemiology I" (PHPM 512 or 612; or CPH 541 or 641; or PHE 530)

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, RN

Online

Course Information

The purpose of this course is to explore public health surveillance systems; retrieve and analyze data for health disparities and inequities, and develop communication approaches regarding the findings for: the community at risk, the general public, policy makers, and the press. Principles of communicating scientific data to lay audiences and the concept of “place based approaches” as effective framing language will be explored.

Doctoral students register in the CPH 622 section.

 

Community Based Participatory Research – CPH 536 / 636

Course Code Credit Terms Offered Instructors Course Delivery

CPH 536/636

3

Spring

Alison Martin, 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.

Doctoral students register in the CPH 636 section.

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

Ryan Petteway, DrPH

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.

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

Contemporary Research in Health Systems & Policy – HSMP 660

Course Code Credit Terms Offered Instructors Course Delivery

HSMP 660

3

Fall

Julia Goodman, PhD

On Campus

Course Information

Doctoral seminar covering current topics in health systems and policy research providing doctoral students in the Health Systems and Policy Ph.D. program an opportunity to develop multi-disciplinary perspectives on current issues in their area of research. This course is repeatable for up to 9 credits.

Prerequisites

Course intended for Ph.D. students only.

Continual Improvement in Health Care – HSMP 578

Course Code Credit Terms Offered Instructors Course Delivery

HSMP 578

3

Spring

Sherril Gelmon, DrPH

On Campus

Course Information

Intended to introduce students to the concepts of continual improvement and illustrate applications of these concepts in health care. The basic content will be drawn from the industrial quality improvement literature; this will be elaborated through presentation and analysis of health care case studies. Students will gain an understanding of different approaches to process improvement and quality management and will be prepared to apply this knowledge in the practice setting.

 

Prerequisites

Prerequisites: HSMP 541 and HSMP 574.