Epidemiology Track Course Descriptions


Introduction to Epidemiology I (3 credits, core course) MPBH 403
Epidemiology is the study of the distribution of disease and its determinants in a population. This introductory level course will provide students with an understanding and working knowledge of basic epidemiologic principles, including measures of disease occurrence and association, study design, identification and controlling of confounding and minimization of bias. Students will learn to calculate incidence, prevalence, relative risk and odds ratios and apply these measures appropriately.

Epidemiology II (3 credits) MPBH 423
This course will expand upon Epidemiology I and provide a more in-depth analysis of epidemiologic concepts. In addition to in depth exploration of the concept of confounding, this course will also provide an overview of related clinical research methods including decision analysis, cost-effectiveness, and genetic and social epidemiology

Biostatistics I (3 credits, core course) MPBH 409
The objective of this course is to help students acquire skills and knowledge that will enable them to manage basic statistical tasks that confront researchers in the health and biological domains. From this, students will be better prepared to interpret research journal articles and to conduct their own data analysis for future research projects. Students will cover basic topics of probability and use of t-tests, chi-square tests and Fisher’s exact test. Basic linear regression will also be covered along with ANOVA. Students will utilize STATA software to create graphs and calculate statistical tests.

Biostatistics II (3 credits) MPBH 421
This course covers intermediate concepts in inferential statistical methods. Topics include the analysis of variance (ANOVA) with planned comparisons and post-hoc tests, factorial ANOVA, bivariate linear correlation and regression, the chi-square tests for goodness of fit and association, the Mann-Whitney U test, and the essentials of sample size estimation. Students will learn to run menu driven and command procedures using STATA statistical software to complete statistical computations.

Multivariate Modeling (3 credits) CRME 422
This course is designed to familiarize students with additional statistical techniques and multivariate methods of analysis for epidemiological and clinical studies. Students will learn to translate research questions into the suitable linear, logistic or Cox proportional hazards model framework, compute and interpret the appropriate statistical estimates from multivariate methods of analysis including partial correlation, multiple linear and multiple logistic regression, Cox proportional hazards regression, and analysis of covariance. All students will utilize STATA statistical software to perform data analysis involving linear, logistic and Cox proportional hazards models.

Research Ethics (3 credits) BEHP 405
This interactive seminar will explore ethical issues pertaining to scientific research, especially biomedical research. Issues regarding scientific integrity, all aspects of human subjects research, and research involving animals will be analyzed. The course is designed to help participants become comfortable with the language and literature of research ethics.