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

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Our Faculty

More than 150 faculty members work within the OHSU-PSU School of Public Health. They have a wide range of expertise, from monitoring and assessing health risks and opportunities in populations, to helping build health-supporting social environments through policy, advocacy, and programs. They are educators, advisors, researchers, practitioners and community leaders. They come from backgrounds in quantitative, behavioral, environmental and social sciences, policy and government, exercise and health sciences and anthropology, among many other areas. They all work in collaboration with each other and with community partners, and are especially focused on the training and education of future leaders and practitioners in the public health fields.

 

Programs

Home » Courses by Program » Epidemiology
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A

Applied Practice Experience – CPH 513

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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.

C

Categorical Data Analysis – BSTA 513

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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.

Chronic Disease Epidemiology – EPI 576

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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”

Concepts of Environmental Health – ESHH 511 / 611

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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.

Current Issues in Public Health – EPI 566

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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.

D

Developmental Origins of Health and Disease (DOHAD) Epidemiology – PHE 510/610

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This course covers the history of the Developmental Origins of Health and Disease (DOHaD) framework, the trends that drive and result from DOHAD processes. It will explain epigenetics and other mechanisms which through priming influence lifelong health.

E

EpiData Analysis & Interpretation – EPI 536/636

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Students will apply epidemiologic and biostatistical principles to the analysis of a public health dataset. Hypotheses are formulated based on datasets provided to the class and a brief literature review of the public health need for the research. Students work in small groups to plan, organize, and conduct analyses leading to final oral and written presentations of their findings. Class time held in the computer lab allows for hands-on experience with data quality assessment, preparation of datasets and variables for analysis, and multivariable modeling. Emphasis is on planning and communicating analytic plans that reflect the causal models generated by students and allow for assessment of confounding and interaction.

Prerequisites:

  1. EPI 512 Epidemiology I
  2. EPI 513/613 Epidemiology II: Methods
  3. EPI 514/614 Epidemiology III: Causation
  4. BSTA 511/611 Estimation & Hypothesis Testing for Applied Biostatistics
  5. BSTA 512/612 Linear Models
  6. BSTA 513/613 Categorical Data Analysis
  7. For those taking EPI 636, the additional prerequisite is BSTA 515 Data Management & Analysis in SAS.

Epidemiology I – EPI 512 / 612

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This is the first course in a three course sequence designed for MPH Epidemiology and Biostatistics majors.  Textbook based; e.g. Gordis Epidemiology.  Basic epidemiological principles applicable to infectious and non-infectious diseases, host-agent-environmental relationships, and concepts of disease causation will be reviewed.  Students will gain familiarity with epidemiologic measures such as incidence, prevalence, mortality, natality, case fatality, relative risk and other rates and ratios and will use age-adjustment and other standardization techniques.  Types and sources of public health data will be reviewed, their use in comparing groups, and statistical significance. Epidemic curves, outbreak investigation principles, surveillance concepts and basic designs of observational studies and sources of bias will be covered.

Students in the MPH Epidemiology and MPH Biostatistics programs should take the on-campus Epi I course.

Doctoral students register for the EPI 612 section.

Epidemiology II: Methods – EPI 513/613

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This course is the second in a three course sequence designed for the MPH in Epidemiology and MPH in Biostatistics majors. Students will develop skills in recognizing strengths and weaknesses of various epidemiologic study designs; describing sources of bias that can distort measures of effect/association; and designing case-control studies, cohort studies, and randomized clinical trials. The class will also explore additional study designs used less frequently, such as nested case-control studies and case-crossover studies. Students will gain experience in recognizing and evaluating the role of confounding in data derived from epidemiologic studies. Additional tutorial sessions, to be scheduled at a time convenient for the students, will include problem-solving exercises focused on study design and analysis. Written homework assignments and problem-oriented learning will occupy a central role in facilitating mastery of epidemiologic methods and issues.

Prerequisites:

  1. EPI 512/612 Epidemiology I
  2. BSTA 511/611 Estimation and Hypothesis Testing for Applied Biostatistics

Epidemiology III: Causation – EPI 514/614

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This is the third course in the epidemiology research methods series and is designed to develop your ability to apply your knowledge and skills to the evaluation of cause. Students will become familiar with epidemiologic concepts of disease causation, develop skills in assessing the epidemiologic literature to arrive at causal conclusions, and learn to use those assessments and conclusions to arrive at justifiable plans for action. Early in the academic quarter, lecture presentations and readings will provide the key epidemiologic concepts and principles involved in making judgments about causation. Discussions in Small Groups will focus on seminal journal articles to reinforce students’ understanding of these concepts. Case studies will also be covered in Small Groups, in which students will review and discuss sets of papers on public health topics that require a rigorous assessment of cause. For each of these topics, students will complete formal written papers (assessments) and participate in discussions using an evaluation framework developed for this course. This framework involves assessing the quality and validity of the epidemiologic evidence to support causation and recommending a course of action to protect public health. Students will share the responsibility of leading the Small Groups, and will be assigned a week to lead the class discussion.

Prerequisites:

  1. EPI 512/612 Epidemiology I
  2. EPI 513/613 Epidemiology II: Methods
  3. BSTA 511/611 Estimation & Hypothesis Testing for Applied Biostatistics
  4. BSTA 612/612 Linear Models

Estimation and Hypothesis Testing for Applied Biostatistics – BSTA 511

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This course covers a broad range of basic statistical methods used in the health sciences. The course begins by covering methods of summarizing data through graphical displays and numerical measures. Basic probability concepts will be explored to establish the basis for statistical inference. Confidence intervals and hypothesis testing will be studied with emphasis on applying these methods to relevant situations. Both normal theory and nonparametric approaches will be studied including one- and two-sample tests of population means and tests of independence for two-way tables. Students will be introduced to one-way analysis of variance (ANOVA), correlation, and simple linear regression. The course focuses on understanding when to use basic statistical methods, how to compute test statistics and how to interpret and communicate the results. Computer applications are included as part of the course to introduce students to basic data management, reading output from computer packages, interpreting and summarizing results.

Prerequisites:

  1. Completion of one undergraduate statistics course.
  2. Current graduate standing or instructor approval.

F

H

Health Systems Organization – HSMP 574/674

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This course introduces basic concepts and issues in the organization, financing, and delivery of health services. The emphasis is on the systemic aspects of health services production and delivery which address the health needs of populations with respect to death, disease, disability, discomfort, and dissatisfaction. Students will examine the inter-relationships of system structures, subsystems, and processes, as well as their interactions with the larger social, cultural, economic and political environments in which they exist. The focus is on the United States, with international comparisons used to illustrate similarities and differences.

Prerequisites: Current graduate standing or instructor approval.

**Note: The following section is offered online: Cartwright.
All other sections are offered in-person.

HIV/AIDS Epidemiology – EPI 556

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The course will start with a review of the known characteristics and pathology of the human immunodeficiency virus infection and the pathogenesis of the clinical acquired immunodeficiency syndrome. Biological and behavioral factors that determine the risks of transmission of the HIV infection will be emphasized and public health prevention strategies will be evaluated. The global HIV epidemic will be considered along with the impact of HIV infection on vulnerable populations, especially women and children. Ethical factors and the impact of stigma will be discussed.

Prerequisite: EPI 512, “Epidemiology I”

I

Infectious Disease Epidemiology – EPI 568

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This course provides students with an opportunity to apply epidemiologic principles to infectious disease, including implementation of control measures based on epidemiologic investigation. It includes a didactic section on specific infectious diseases, followed by a classroom study of both endemic and epidemic outbreaks. There will be in-class exercises on each of the infectious diseases, including the testing of hypotheses based on epidemiologic findings leading to a discussion of control measures.

Prerequisite: EPI 512, “Epidemiology I”

Integrative Learning Experience – EPI 506

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The Integrative Learning Experience (ILE) requires MPH students to synthesize selected competencies from the Council on Education for Public Health (CEPH). The ILE involves students working with preceptors at organizations outside of the SPH. During the ILE, students will create a substantial written product that is appropriate for each student’s educational and professional objectives as well as complete other required assignments. The ILE occurs toward the end of a student’s program of study.

L

Linear Models – BSTA 512

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This course is the second course in the required sequence for all Graduate Biostatistics program, the MPH Epidemiology track, and the PhD Epidemiology program. This course expands on the analyses techniques presented in BSTA 511. In particular, we focus on multiple regression analysis and various analysis of variance techniques ending with a conceptual overview of techniques for correlated continuous outcomes (i.e., random effects and repeated measures). Classes consist of lecture, examples of data analysis and Stata and/or R computer application techniques. Written homework assignments and data analysis projects are used to assist in mastery of the analysis methods.

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

M

Mentored Epidemiology Research – EPI 650

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This course is based on moving the skill set of prior epidemiologic methods, research, and biostatistical courses into a deeper contemplation and synthesis across methods and theories in epidemiology. The course is intended primarily for doctoral students in epidemiology and is an elective for the PhD in Epidemiology students. MPH students in the epidemiology track and other PhD students may take the course with permission from their individual instructor.

Prerequisites: graduate training in epidemiologic methods and biostatistics

  1. EPI 513/613 Epidemiology II
  2. EPI 514/614 Epidemiology III
  3. EPI 540 Introduction to Research Design
  4. BSTA 514 Survival Analysis
  5. BSTA 519 Longitudinal Data Analysis
  6. BSTA 612 Linear Models

Mentored Epidemiology Teaching – EPI 660

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This course is intended to provide a guided, mentored teaching experience for doctoral students in epidemiology. In addition to typical and course-specific teaching assistant (TA) duties that support the teaching faculty member/course instructor, PhD epidemiology graduates will be provided basic-level preparation for independent teaching.

Prerequisites

Permission is required from the PhD Program Director and the Assigned Instructor of the academic course in which the PhD student will receive teaching. At a minimum, to be assigned to a course for TA activities, students must be in good academic standing in the PhD program, and have adequate graduate training in epidemiologic methods and biostatistics.

EPI 512, 513, 514, 540, BSTA 514/519, BSTA 612 (or equivalent) represent the set of minimum standards (or permission of the course teaching faculty member/instructor).

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Meet our Faculty

David Bangsberg

Founding Dean

Dr. Ryan Petteway – A People’s Social Epidemiologist

Assistant Professor
Office: PSU – URBN 470N