Course Descriptions

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Required Courses

CHB 550 Public Health and Population Wellbeing

3 Credits, Fall Semester

Prerequisite: None

The course will provide students with an understanding of and appreciation for population approaches to improving the health of our nation and the world, as well as knowledge of various career paths in public health. Course content includes: public health perspectives on health, wellness, illness, and population well-being; key influences on the health and well being of individuals and populations; assessing public health problems from a population health perspective; using the five core components of public health to address health problems; effectively utilizing health information to address public health issues; and career paths in public health and the training/expertise required to pursue them. Students will engage in critical assessment of historical and current public health events, and creative application of their foundational knowledge to new public health problems. The course is particularly applicable to students preparing to pursue a health-related career and to students in health professions programs desiring a knowledge of public health approaches.

Instructor: Kiviniemi

EEH 501 Principles of Epidemiology

4 Credits, Fall Semester

Prerequisite: None

Introduction to the basic principles, methods, and uses of epidemiology. This course is a master’s/doctoral level course designed to introduce epidemiology, its methods and its role in public health. A major portion of the course will be devoted to an overview of fundamental epidemiologic methods used in public health research and practice. The student will be familiarized with basic measures used in describing disease frequency in populations. Descriptive and analytic approaches to the study of disease will be explored, and a perspective on the role of epidemiologic methods in health services planning and evaluation will be provided. Problem solving exercises will be used to provide students with an opportunity to tabulate data and apply subject matter developed during lectures and in reading assignments. At the end of the course students should have a general understanding of the uses and limitations of epidemiologic inquiry. This understanding should provide the basis for applying epidemiologic concepts in work-related settings and in other courses in the public health curriculum.

Instructor: LaMonte

EEH 502 Advanced Methodology

3 Credits, Spring Semester

Prerequisite: EEH 501

Provides information on advanced topics in epidemiologic methods. Emphasis is on various concepts related to the conduct of epidemiologic research. This course extends understanding of topics presented in EEH 501 and presents new topics in advanced epidemiologic methods.

Instructor: Bonner

EEH 505 Application of Biostatistics to Epidemiology I

1 Credit, Fall Semester

Prerequisite: None

The course is for students in the public health sciences who seek to develop data analysis skills. The course includes emphasis on the application and interpretation of statistical tests using SAS software in the School of Public Health and Health Professions (SPHHP) Kimball Hall computer laboratory. Students will learn basic methods for data organization and management as well as skills in data exploration, graphical and tabular display. Topics include descriptive statistics, hypothesis testing for means, proportions, elementary non-parametric techniques, tests, ANOVA, correlations, linear and logistic regression. The course culminates in group data analysis projects.

Instructor: Ochs-Balcom

EEH 506 Application of Biostatistics to Epidemiology II

4 Credits (3 Lecture, 1 Lab), Spring Semester

Prerequisites: EEH 501, EEH 502 (concurrent registration), EEH 505, and STA 527

This course is designed to teach students how to perform multivariate statistical analysis commonly used in epidemiologic studies. Topics include correlation, multivariate logistic and linear regression, regression diagnostics, modeling strategies, and survival analysis. Students learn SAS coding in the lab session.

Instructor: Zhao

EEH 591 Graduate Seminar

0 Credit, Fall and Spring Semesters

Prerequisite: None

Intended to inform faculty and MS and PhD students in EEH about new and continuing areas of research and public policy issues in public health and epidemiology.  Invited speakers will include EEH and Roswell Park faculty, graduate students, faculty from other departments at the University at Buffalo, and nationally and internationally recognized experts in public health and epidemiology from outside the University.

EEH 600 Thesis Guidance

1-10 credits, can only register for a maximum of 6 credits/semester, Fall/Winter/Spring/Summer Semesters

Prerequisite: None

Through the thesis students will design, implement, complete and report on significant and original, independent epidemiologic research. Students will conduct their research under the supervision of their major professor and a thesis committee.

Instructor: Staff

STA 527 Introduction to Medical Statistics

3 Credits (4 total with STA 527 REC), Fall Semester

Corequisite: Students must enroll in STA 527 LEC and STA 527 REC in the same term.

This course is designed for students concerned with medical data. The material covered includes: the design of clinical trials and epidemiological studies; data collection; summarizing and presenting data; probability; standard error; confidence intervals and significance tests; techniques of data analysis including multifactorial methods and the choice of statistical methods; problems of medical measurement and diagnosis;  and vital statistics and calculation of sample size. The design and analysis of medical research studies will be illustrated. MINITAB is used to perform some data analysis. Descriptive statistics, probability distributions, estimation, tests of hypothesis, categorical data, regression model, analysis of variance, nonparametric methods, and others will be discussed as time permits.

Instructor: Kuhlmann

Note

Students are also strongly recommeded to attend STA 527 recitation.

Elective Course Options

BCH 519 Introduction to Bioinformatics and Computational Biology

3 Credits, Spring Semester

Prerequisite: None

Information from the UB Graduate Academic Schedule.

Introduction to the principles and practices used in computational analysis of DNA and protein sequences, analysis of large scale DNA and protein datasets, statistical analysis of sequence alignments and microarray and next-generation sequencing datasets, and proteomics.

See also a more detailed course description from the Department of Biochemistry webpage.

Instructor: Buck

Note

This course fulfills the requirement for one informatics core course for epidemiology master's students in the clinical research track.

BMI 501 Survey of Biomedical Informatics I

3 Credits, Fall Semester

Prerequisite: None

Information from the UB Graduate Academic Schedule.

This graduate course is the core introductory course for students beginning a master's degree in Biomedical Informatics or for students in other graduate degree programs seeking an introductory overview of the core theories, challenges, research methods, and application areas for the development of health information management systems.

See also a more detailed course description from the Department of Biomedical Informatics webpage.

Instructor: Staff

Note

This course fulfills the requirement for one informatics core course for epidemiology master's students in the clinical research track.

EEH 510 Principles of Measurement in Public Health

3 Credits, Fall Semester

Prerequisite: None

An explanation of basic principles and methods of measurement and their application in epidemiologic research. These include development and use of different types of instruments and scales for measuring biological characteristics and behavioral and social constructs, questionnaire construction and validation, sampling, data collection methods, and fundamental principles underlying data analysis and interpretation. Students will gain practical experience developing a questionnaire relevant to an epidemiologic issue, role-playing interview techniques in class, and resolving issues related to other data collection methods, sampling, and preparing data for analysis.

Instructor: Rudra

EEH 570 Cancer Epidemiology

3 Credits, Spring Semester

Prerequisite: None

Provides an in depth overview of the epidemiology on various cancer sites. Standard methodologies and analytic techniques used in cancer epidemiology will be covered. Attention given to critical review of known or suspected cancer risk factors.

Instructor: Moysich

Note

Cross listed with PTR 525.

EEH 571 Epidemiology of Cardiovascular Disease

3 Credits, Spring Semester

Prerequisite: EEH 501

The pathophysiological basis of the major cardiovascular diseases is studied in relation to their clinical and epidemiological characteristics. Findings from major epidemiological studies and clinical trials are reviewed, and their implication for preventive measures are discussed.

Instructor: Donahue

EEH 572 Nutritional Epidemiology

3 Credits, Spring Semester

Prerequisite: EEH 501

Discusses the major strengths and weakness of dietary assessment methods used in epidemiologic studies to investigate associations between diet and disease (e.g., 24-hour recalls, food records, food frequency questionnaires, nutritional biomarkers). An introduction to nutritional epidemiologic analysis will be presented and discussed including analysis of nutrients, foods and dietary patterns. Critical evaluation of nutritional epidemiologic literature will be practiced.

Instructor: Millen

EEH 573 Epidemiology of Infectious Diseases

3 Credits, Fall Semester

Prerequisite: EEH 501

Focuses on the theory and epidemiologic methods used in the epidemiologic study of infectious diseases. Emphasis is on the investigation of infectious disease outbreaks, evaluations of vaccine efficacy and effectiveness, and surveillance for infectious diseases of public health importance. The course includes an examination of the following infectious diseases, among others: HIV/AIDs, influenza, foodborne disease, sexually transmitted infections, dengue fever, and vaccine-preventable diseases.

Instructor: Zorich

EEH 574 Epidemics and Outbreaks

3 Credits, Spring Semester

Prerequisite: EEH 573

Advanced course studying recent outbreaks of infectious disease. Each session will deal with an individual agent, review recent outbreaks, and discuss public health implications. Emphasis will be placed on epidemiologic principles, maneuvers by public health authorities to investigate and contain outbreaks, and relationships to the media. Topics and outbreaks will be selected with immediacy and relevance to public health.

Instructor: Lindstrom

EEH 575 Epidemiologic Applications to Environmental Health

3 Credits, Fall Semester

Prerequisites: EEH 501

Provides epidemiology and environmental health students with a working knowledge of epidemiologic theory and practice applied to issues of environmental health. Case studies and specific environmental issues will be used to illustrate the application of epidemiologic theory to understand the role of environmental factors in the etiology of disease.

Instructor: Mu

EEH 577 Perinatal Epidemiology

3 Credits, Fall Semester

Prerequisite: EEH 501

This course will provide an overview of the current field of perinatal epidemiology, including study designs, exposure and outcome measurement, data resources, and methodological challenges most relevant to the field. Topics of interest will include pregnancy and delivery complications, maternal and fetal morbidities and mortality, and maternal and paternal adverse exposures.

Instructor: Wen

EEH 600 Thesis Guidance

1-10 credits, can only register for a maximum of 6 credits/semester, Fall/Winter/Spring/Summer Semesters

Prerequisite: None

Through the thesis students will design, implement, complete and report on significant and original, independent epidemiologic research. Students will conduct their research under the supervision of their major professor and a thesis committee.

Instructor: Staff

STA 525 Statistics for Bioinformatics

3 Credits, Spring Semester

Since the completion of the human genome project, there is a burgeoning field of new applications for statistics involving high throughput experiments designed to gather large amounts of information on biological systems. This course is focused on discussing the wide array of approaches and technologies implemented to gather this information and the statistical issues involved from initial data processing steps to end stage research objectives. Specifically, time permitting, the technologies we will examine include two dimensional protein gel electrophoresis, protein mass spectrometry, and several flavors of microarray experiments. We will use the text “Bioinformatics and Computational Biology Solutions Using R and Bioconductor.” Much of the work for the course will involve analyzing data sets from class and from the text using the R language.

Prerequisite: None

Instructor: Gaile

Note

This course fulfills the requirement for one informatics core course for epidemiology master's students in the clinical research track.