AEPI 530D: Applied Epidemiology I (3 credit hours)
Prerequisite: By special permission. Emphasizes the concepts and premises of the science of epidemiology. Introduces techniques for quantifying the amount of disease (or other health indicator) in the populations, followed by discussion of epidemiologic study designs useful for identifying etiologic factors and other relevant correlates of disease. The concepts of random variability, bias, and effect modification are examined. (Prerequisite-College Algebra)
AEPI 534D: Applied Epidemiology II (3 credit hours)
Prerequisites: BIOS 516D and AEPI 530D or by special permission. Continuing from Applied Epidemiology I, further insight into confounding is explored as well as effect modification. Methods of hypothesis formulation and analysis of 2x2 tables (point estimation and confidence intervals) are described in detail as well as sample size calculations. Different approaches to control for extraneous variables in the design of studies are presented, such as randomization, matching, and restriction. The use of stratification for assessing effect modification and confounding is provided followed by an introduction to mathematical modeling. In stratification, how to calculate and interpret tests for interaction, adjusted point estimates, and confidence limits around the adjusted estimates are covered. Issues in the use of matching in case-control studies and cohort studies are presented. Statistical packages such as SAS and OpenEpi are used.
AEPI 536D: Epidemiological Modeling (3 credit hours)
Prerequisites: BIOS 516D, BIOS 517D, AEPI 530D and AEPI 534D or by special permission. Methods for analyzing multivariable data in order to evaluate epidemiological research relationships between exposure and disease variables. Includes logistic regression (conditional and unconditional), risk ratio regression, risk difference regression, and survival analysis.
AEPI 538D: Applied Data Analysis (2 credit hours)
Prerequisites: BIOS 516D, BIOS 517D, BIOS 518D, AEPI 530D, AEPI 534D and AEPI 536D or by special permission. The purpose of this course is to prepare the student for actual analysis of epidemiologic data from case-control or cohort studies. It demonstrates, and gives the student an opportunity to explore, the methods taught in the epidemiology methods sequence. The student will develop a hypothesis, and test it using an epidemiologic database with stratified analysis and logistic regression techniques. The student also will use conditional logistic regression. It is expected that this course will help prepare Executive MPH students for analyzing their Thesis data.
AEPI 540D: Case Studies in Infectious Disease (2 credit hours)
Prerequisites: BIOS 516D, BIOS 517D, BIOS 518D, AEPI 530D, AEPI 536D and AEPI 534D or by special permission. Provides training in the investigation, control, and prevention of infectious diseases by both descriptive and analytic epidemiological techniques. Students work with infectious diseases of national and international interest.
AEPI 545D: Maternal and Child Health Epidemiology (2 credit hours)
Prerequisites: BIOS 516D, BIOS 517D, BIOS 518D, AEPI 530D, AEPI 536D and AEPI 534D or by special permission. This course builds on students’ foundation in epidemiologic methods and concepts and introduces them to selected public health issues for MCH populations including non-pregnant reproductive aged women, pregnant women, fetus’ and infants, and children and adolescents. The arena of MCH is a unique blend of science, policy, and advocacy; this course introduces students to the epidemiologic and analytic tools which help identify and measure MCH health issues and communicate this evidence to inform public health action. Recurring themes will be on interpretation of indicators and measures, MCH health through the lens of a life course perspective, and the relevance of health disparities to MCH research and practice.
AEPI 555D: Chronic Disease Epidemiology (2 credit hours)
Prerequisites: BIOS 516D, BIOS 517D, BIOS 518D, AEPI 530D, AEPI 534D and AEPI 536D or by special permission. Emphasis is placed on the distribution and determinants of chronic disease within the population. Research design and analysis are not the primary focus of the course, but methodological issues are considered when pertinent to the interpretation of findings.
AEPI 565D: Advanced Modeling (3 credit hours)
Prerequisites: AEPI 530D, AEPI 534D, AEPI 536D and AEPI 538D or by special permission. Advanced Modeling will cover multivariate methods for analyzing epidemiologic data that involve examining associations between exposures and outcomes for which the outcome data are the time to an event, event rates, or a count of events. The course covers survival analysis and Poisson regression.
AEPI 599R: Thesis (4 credit hours)
Prerequisites: Completion of 12 EMPH credit hours or by special permission. Provides an opportunity to integrate the content and skills learned in the academic setting through the participation in scholarly research or other culminating project.
BIOS 516D: Applied Biostatistics I (2 credit hours)
Prerequisite: By special permission. This course covers fundamental concepts and methods used in data analysis. These include techniques in graphical and numerical descriptive statistics, elementary probability calculation using the normal distribution, point and confidence interval estimation and hypothesis testing for population means and proportions, differences between means and between proportions, and contingency table analyses (including risk ratio and odds ratio). Students will use SAS to perform the statistical analysis. Requirements include weekly homework, weekly quizzes, Midterm and Final Exams, and data analysis project.
BIOS 517D: Applied Biostatistics II (2 credit hours)
Prerequisite: BIOS 516D. BIOS 517D is the follow-up course to BIOS 516D. This course starts with a review of the previous course, focusing on power and sample size. Nonparametric analogues of the parametric tests introduced in the preceding semester are also covered. Students then learn about linear regression and analysis of variance (ANOVA). A good grasp of the statistical methods taught in this course is necessary to conduct biomedical and public health research and to comprehend what is reported in the published literature. This course is also a prerequisite to BIOS 518D, which is a course on longitudinal data analysis.
BIOS 518D: Applied Biostatistics III (2 credit hours)
Prerequisites: BIOS 516D and BIOS 517D. BIOS 518D is the follow-up to BIOS 517D. This course starts with ANOVA and ANACOVA and post-ANOVA multiple comparison procedures for cross-sectional data. It then introduces students to longitudinal data analysis. As in previous courses, students first learn to create descriptive and graphical summaries appropriate to longitudinal data prior to conducting formal inference. Students are introduced to multilevel models and extend the methods to more complex analytic situations that involve curvilinear and discontinuous growth trajectories and complex risk profiles, the inclusion of time-varying covariates, and the testing of complex interactions among time-invariant and time-varying predictors.
PRS 502D: EMPH Thesis Advising Seminar (0 credit hours)
Prerequisites: Vary by track. This seminar is required for all EMPH students completing a thesis. The course consists of a six-week, self-paced online seminar that covers expectations and planning for the thesis, as well as participation in two synchronous online boot camps sessions for the development of a thesis topic.
PRS 595R: Practicum (2 credit hours)
Prerequisite: Completion of 9 EMPH credit hours or by special permission. Enables students to apply skills and knowledge in an applied setting through a supervised field training experience in a public health setting that complements the student’s interests and career goals.
*3 credit hour classes may have an additional lab meeting during on-campus sessions.