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 601 Advanced Epidemiologic Study Designs

3 Credits, Fall Semester

Prerequisites: EEH 501 and EEH 502

Advanced course focused on development and design of studies using the three major study designs in epidemiologic and public health research: cohort studies, case-control studies, and randomized trials. Topics covered include developing the study question; identifying, recruiting, and enrolling the study population; exposure assessment; ascertaining valid outcomes; bias and confounding; analytic considerations; randomization and blinding; monitoring adverse events; participant well-being and ethical considerations; and reporting and interpreting study findings. Students gain practical experience in critiquing published research that uses each of the study designs, and in developing a research question and designing an appropriate study utilizing each of the study designs to address the question.

Instructors: Freudenheim, Donahue, and Marshall

Note

This course is designed for advanced doctoral students.

EEH 611 Analysis of Health Data

4 Credits, Spring Semester

Prerequisite: EEH 506, or permission of instructor

Provides students in the health sciences with practical experience in preparing, analyzing and reporting findings from epidemiologic and other health-related data. Using existing epidemiologic data sets, students complete exercises related to data cleanup, data file construction and management, basic descriptive statistics, analytical strategies, biostatistical analysis, and data interpretation. Course requirements include analysis and reporting of findings from analysis of existing health-related data.

Instructor: Kordas

Note

Cross listed with PTR 627.
This course is designed for advanced doctoral students.

EEH 700 Dissertation Guidance

1-12 credits, can only register for a maximum of 10 credits/semester, Fall/Winter/Spring/Summer Semesters

Prerequisite: None

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

CHB 620 Special Topics, Applied Longitudinal Analysis

3 Credits, Fall Semester

Prerequisite: None

Instructor: Staff

Note

This course fulfills the requirement for one advanced statistical course outside of the department for epidemiology doctoral students.

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 610 Fundamentals of Grant Development

3 Credits, Fall Semester

Prerequisites: EEH 501, EEH 502, EEH 505, and STA 527

This course is designed for advanced PhD students who are committed to obtaining extramural support for scientific research. This course involves interactive class discussion of readings focused on planning and writing grants, with emphasis on funding from the National Institutes of Health (NIH). This class covers how to obtain information on funding opportunities, understanding the language of grants, development of the common sections of grant proposals, and understanding the grant review process. This course also involves an introduction to budget planning and Institutional Review Board (IRB) requirements for grant submission. All students are required to design and write a research proposal according to NIH guidelines. Students who enroll in the course should have a grant proposal topic of interest to them at the start of class. In addition to class discussions on assigned readings, class time is also be used as a workshop for grant writing and feedback on grant drafts.

Instructor: Millen

Note

This course is designed for advanced doctoral students.

EEH 670 Advanced Cancer Epidemiology and Prevention

3 Credits, Spring Semester

Prerequisites: EEH 501, EEH 502, EEH 505, EEH 570, and STA527

Seminar course focused on an understanding of and critical evaluation of research in cancer biology and epidemiology including an in-depth examination of methodological issues.

Instructor: Freudenheim

Note

This course is designed for advanced doctoral students.

EEH 671 Advanced Topics in Cardiovascular Disease Epidemiology and Prevention

3 Credits, Spring Semester

Prerequisites: EEH 571

Designed for advanced students interested in focusing their research or clinical work on the epidemiology and prevention of cardiovascular diseases. Major emphasis will be on methodological issues in CVD, disease etiology, and primary and secondary prevention of CVD. Intended to develop critical skills for independent CVD researchers and clinicians.

Instructor: Donahue

Note

This course is designed for advanced doctoral students.

EEH 672 The Role of Physical Activity in the Etiology, Treatment and Prevention of Chronic Disease

3 Credits, Spring Semester

Prerequisite: EEH 501

Designed for students who are interested in expanding their knowledge and understanding of physical activity research and the public health implications of an active or inactive lifestyle. The major emphasis will be on methodological issues in physical activity research, and the role of physical activity in health and chronic disease. The course is intended to develop critical thinking, research, and decision-making skills for independent researchers and clinicians.

Instructor: LaMonte

Note

This course is designed for advanced doctoral students.

EEH 673 Molecular Epidemiology

3 Credits, Fall Semester

Prerequisites: EEH 501, EEH 502, EEH 505, and STA 527

Molecular epidemiology deals with the contribution of potential genetic and environmental risk factors, identified at the molecular and biochemical level, to the etiology, distribution and control of disease in populations. An understanding of molecular mechanisms involved in disease etiology, and their potential uses in epidemiology is the focus. This course lays the groundwork for reading, interpreting, and critically appraising molecular epidemiologic studies, as well as incorporating molecular methodology into one's own research designs.

Instructor: Bonner

Note

This course is designed for advanced doctoral students.

EEH 674 Fundamentals of Genetic Epidemiology

3 Credits, Spring Semester

Prerequisites: EEH 501, EEH 502, EEH 505, and STA 527

An overview of the field of genetic epidemiology including how to study the genetic causes of phenotypic variation. Topics include human genetics, molecular genetics, and population genetics as they apply to the conduct of a genetic epidemiology study. The concepts of heritability and linkage disequilibrium are covered. The course covers aspects of segregation, linkage, and association as they are used in family- and population-based studies to search for disease-associated genes. Current concepts in the genetics of complex traits as well as an exploration of online databases used in genetic epidemiology are included.

Instructor: Ochs-Balcom

Note

This course is designed for advanced doctoral students.

EEH 697 Independent Study PhD

1-9 credits, can only register for a maximum of 6 credits/semester, Fall/Winter/Spring/Summer Semesters

Prerequisite: Permission of instructor

For PhD students with special interests not satisfied through the formal course work, there is an opportunity to pursue independent study under the direction of a faculty member.

Instructor: Staff

EEH 698 Directed Research

1-15 credits, can only register for a maximum of 6 credits/semester, Fall/Winter/Spring/Summer Semesters

Prerequisite: Permission of instructor

For PhD students to engage in research under the mentorship of a faculty member.

Instructor: Staff

Note

This course is designed for advanced doctoral students.

EEH 700 Dissertation Guidance

1-12 credits, can only register for a maximum of 10 credits/semester, Fall/Winter/Spring/Summer Semesters

Prerequisite: None

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

Instructor: Staff

NUS 695 Advanced Statistical Techniques

3 Credits, Spring Semester

Prerequisite: NUS 694

This course focuses on the applications of advanced statistical techniques and interpretations of findings produced by these techniques, taking into consideration the design of the research and the theoretical models to be tested or developed. This course consists of logistic regression, multivariate ANOVA, discriminant analysis, structural equation modeling and hierarchical linear/nonlinear modeling.

Instructor: Wu

Note

This course fulfills the requirement for one advanced statistical course outside of the department for epidemiology doctoral students.

PTR 536 Cancer Pathology

3 Credits, Spring Semester

Prerequisite: Permission of instructor

The goal of this course is to provide students with a broad perspective of cancer pathology at the tissue level with histological exposure.  Pathology of major disease sites (i.e., hematopoietic, breast, lung, GYN, GU, GI and skin) will include gross and microscopic morphology, tissue of origin, structural changes in transformation, differentiation as well as clinical perspectives.  Discussions of modern methodology (i.e., histologic, cytologic, immunohistologic, karyotypic, molecular and flow cytometric techniques, tissue markers, in vitro and in vivo model systems, epidemiological and prevention studies) utilized in laboratory diagnosis and translational research will illustrate the role of pathology in cancer research.

Instructor: Staff

Note

This course is required for epidemiology doctoral students in the cancer track.

RPN 530 Oncology for Scientists I

4 Credits, Fall Semester

Prerequisite: None

Defines the cancer cell morphologically, as well as molecularly, covering topics such as the cell cycle, cancer-associated genes, regulation of cancer cell expression, cancer genetics, carcinogenesis, metastasis, apoptosis, and laboratory research techniques.

Instructor: Block

Note

This course is required for epidemiology doctoral students in the cancer track.

RPN 532 Oncology for Scientists II

4 Credits, Spring Semester

Prerequisite: Permission of instructor

Builds upon the theoretical basis of the previous semester, covering the immune system, hormones, chemotherapy and drug development. A large part of the semester deals with the clinical and pathological description of various organ systems presented by Institute medical staff. Ancillary lectures on cancer epidemiology, prevention, statistics, bioinformatics, and clinical treatment (chemotherapy, diagnostic imaging, radiation therapy, photodynamic therapy) are also presented. The human dimensions of the disease are addressed by presentations on pain and the psychological aspects of cancer. The students will also have the opportunity to meet with patients and their treating physicians.

Instructor: Block

Note

This course is required for epidemiology doctoral students in the cancer track.

RPN 541 Ethics and Conduct of Research

1 Credit, Fall Semester

Prerequisite: None

The topics covered include: scientific writing and data handling, biohazards and the worker’s right to know, animal use in research, research with human subjects, peer review, proprietary rights, conflict of interest/science and industry, human genome project, science and the media, medical and health care ethics, and identifying and reporting misconduct.

Instructor: Karin

Note

This course is required for epidemiology doctoral students in the cancer track.

SSC 640 Graduate Research Ethics

3 Credits, Spring Semester

Prerequisite: None

The course offers a broad analysis of ethical issues in science including scientific misconduct, fraud and plagiarism, animal use and animal rights, clinical trials and informed consent, intellectual property rights, data handling and preservation, and issues around genetic diseases and information.

Instructor: Staff

STA 503 Regression Analysis

3 Credits, Fall Semester

Prerequisite: MTH 142 or second course in calculus or permission of instructor

Regression analysis and introduction to linear models. Topics: Multiple regression, analysis of covariance, least square means, logistic regression, and non-linear regression. This course includes a one-hour computer lab and emphasizes hands-on applications to datasets from the health sciences. 

Instructor: Staff

Note

This course fulfills the requirement for one advanced statistical course outside of the department for epidemiology doctoral students.

STA 517 Categorical Data Analysis

3 Credits, Spring Semester (previously in the Fall Semester)

3 Credits, Fall Semester

Prerequisite: STA 504 and STA 522. Concurrent registration in prerequisites is admissible.

This course provides students with useful methods for analyzing categorical data. Topics: Cross-classification tables, tests for independence, log-linear models, Poisson regression, ordinal logistic regression, and multinomial regression for the logistic model.

Instructor: Staff

Note

This course fulfills the requirement for one advanced statistical course outside of the department for epidemiology doctoral students.

STA 545 Statistical Data Mining I

3 Credits, Fall Semester

Prerequisite: STA 511

This course presents the topic of data mining from a statistical perspective, with attention directed towards both applied and theoretical considerations. The focus will be on supervised learning, which concerns outcome prediction from input data. Students will be introduced to a number of methods for supervised learning, including: linear and logistic regression, shrinkage methods, lasso, partial least squares, tree-based methods, model assessment and selection, model inference and averaging, and neural networks. Computational applications will be presented using R and high dimensional data to reinforce theoretical concepts.

Instructor: Staff

Note

This course fulfills the requirement for one advanced statistical course outside of the department for epidemiology doctoral students.

STA 546 Statistical Data Mining II

3 Credits, Spring Semester

Prerequisite: STA 511

This course presents the topic of data mining from a statistical perspective, with attention directed towards both applied and theoretical considerations. The focus will be on supervised learning, which concerns outcome prediction from input data. Students will be introduced to a number of methods for supervised learning, including: linear and logistic regression, shrinkage methods, lasso, partial least squares, tree-based methods, model assessment and selection, model inference and averaging, and neural networks. Computational applications will be presented using R and high dimensional data to reinforce theoretical concepts.

Instructor: Staff

Note

This course fulfills the requirement for one advanced statistical course outside of the department for epidemiology doctoral students.

STA 575 Survival Data Analysis

3 Credits, Fall Semester

Prerequisite: STA 504 and STA 522

Provides an advanced course on the use of life tables and analysis of failure time data. Topics: Use of Kaplan-Meier survival curves, use of log rank test, Cox proportional hazards model, evaluating the proportionality assumption, dealing with non-proportionality, stratified Cox procedure, extension to time-dependent variables, and comparison with logistic regression approaches. 

Instructor: Staff

Note

This course fulfills the requirement for one advanced statistical course outside of the department for epidemiology doctoral students.