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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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.

Concepts of Environmental Health – PHE 580

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This course is designed to introduce graduate students to basic concepts and issues in environmental and occupational health. Environmental and occupational hazards that affect human health are examined in the context of current social, political and regulatory pressures. Topics include environmental and emerging disease, environmental toxicology, risk assessment, occupational health, food protection, drinking water safety and waste water treatment, solid and hazardous waste disposal, indoor and outdoor air pollution, radiation and pests and pesticides. Global environmental health issues are included as time permits.

Note: Additional sections of this course are listed under CPH 539/639 and PHPM 518.

Prerequisites: None

Level: Graduate

Current Issues in Public Health – PHPM 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.

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EpiData Analysis & Interpretation – PHPM 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. PHPM 512 Epidemiology I
  2. PHPM 513/613 Epidemiology II: Methods
  3. PHPM 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 PHPM 636, the additional prerequisite is BSTA 515 Data Management & Analysis in SAS.

Epidemiology I – PHPM 512/612

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Epidemiology I introduces the concepts, principles and methods of epidemiology. Epidemiology is one of the fundamental sciences used by public health professionals to identify, prevent and control health problems in communities. Specifically, epidemiologic methods are used to investigate the distribution of health- related states or events (e.g. disease, unhealthy exposures, etc.) in populations and identify the factors or characteristics (“determinants”) that influence or determine these distributions. In addition, epidemiology is used to inform and evaluate public health programs and policies and to assist in the development of prevention and control measures to address health problems within communities. In this course, students will learn how to apply epidemiologic methods to answer questions about the distribution of disease, death, disability and risk exposures in populations, as well as those relating to causal relationships between exposures and health outcomes.

Prerequisites: Matriculation into a joint School of Public Health program.

**Note: The following section is offered online: Marshall.
The following sections are offered in-person: Stull, Dinno.
This course is cross-listed as PHPM512/CPH 541/PHE 530.

Epidemiology II: Methods – PHPM 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. PHPM 512/612 Epidemiology I
  2. BSTA 511/611 Estimation and Hypothesis Testing for Applied Biostatistics

Epidemiology III: Causation – PHPM 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. PHPM 512/612 Epidemiology I
  2. PHPM 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.

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Health Systems Organization – CPH 540/640

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This course is designed to introduce graduate students to basic concepts and issues in the organization, financing and delivery of health services. The primary focus of this course is the systemic aspects of health services production and delivery. Specialized systems develop to produce, deliver and finance health services which seek to address the health needs of populations with respect to death, disease, disability, discomfort and dissatisfaction. Through learning in this course, 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 emphasis is on using different conceptual models for understanding the current health system, its strengths and areas for improvement. As a result of this course, students will develop an increased understanding of the organization of health services delivery systems in modern societies: how such systems are and can be organized, financed and managed; how health care resources are and can be produced; how health services are and can be provided, paid for, accessed and consumed; and how various system configurations can and do affect the outputs and outcomes of those systems. The focus is on the United States, with international comparisons used to illustrate similarities and differences.

Prerequisites: None

**Note: The following section is offered online: Cartwright.
All other sections are offered in-person.
This course is cross-listed as PHPM 519/PAH 574.

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.
This course is cross-listed as CPH 540/PAH 574.

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Introduction to Biostatistics – PHPM 524

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The goal of this course is to cover the broad range of statistical methods used in health sciences. Methods of summarizing data through graphical displays and numerical measures will be discussed. Basic probability concepts will be explored to establish the basis for statistical inference. Confidence intervals and hypothesis testing will be studied with emphasis in applying these methods to relevant situations. Both normal theory and non-parametric approaches will be studied. Course focus will be to understand when to use basic statistical methods how to compute tests to statistics and how to interpret results. Computer applications (using SPSS) are included as part of the course.

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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

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

Mentored Epidemiology Teaching – PHPM 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.

PHPM 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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Reading and Conference – PHPM 505/605

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The student identifies a faculty member to develop a course of study consistent with the student’s interest and degree objectives.

Prerequisite: Matriculation into the MPH Epidemiology program.

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Values & Ethics in Health – HSMP 573

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This course addresses issues and questions regarding values and ethics in health, with particular attention to public health practice and health policy and management. It provides students with opportunities to consider issues in health and social services that challenge values and pose ethical issues, and assists students in addressing these issues in the context of both personal and organizational values and beliefs. Specific course content includes, but is not limited to, ethical issues such as reproductive issues, emerging diseases, product liability, pharmaceutical controls, advertising, occupational and environmental issues, and research dilemmas.

HSMP 573 should be taken after completion of at least 30 credits or with demonstration of substantial health-related work experience.

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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