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SPH EP 854: Advanced Epidemiology
Graduate Prerequisites: SPH BS723 and EP813.
This course covers the theory and application of key principles and methods of epidemiologic research in depth. The topics include causal models, confounding, randomization, interaction, statistical analysis and inference, and causal inference. Special emphasis is given to the meaning and interpretation of p-values, confidence intervals, and likelihoods. Alternative approaches are identified for selecting and interpreting measures of disease frequency and measures of effect. Guidance is offered for determining objectives and strategies in study design and analysis, especially for case-control research. Methods are presented for the assessment and control of confounding, misclassification bias, and selection bias. Strengths and weaknesses of standardization, pooling, modeling, and exposure-response analysis are reviewed.
SPH EP 855: Advanced Epidemiology Seminar: Issues in Study Design
Graduate Prerequisites: Primarily for doctoral students. MPH students must have completed EP854 and have consent of the instructor.
This course is structured around reading and discussing both historical and current methodological papers. The first section of the course focuses on papers by early theoreticians and methodologists. The second section focuses on contemporary methodologic questions. Substantive areas may evolve and vary over time. Recent topics have included case-control studies, study efficiency, measures of effect, exposure misclassification, sensitivity analysis, casual diagrams, and direct and indirect effects.
SPH EP 857: Design and Conduct of Cohort Studies
Graduate Prerequisites: SPH BS723 and EP 813 or EP 854
This is a third-level epidemiologic methods course intended for advanced Masters and Doctoral students who desire to build depth and nuance in their understanding of cohort study design and conduct. The course will build on classic and state-of-the-art papers which focus in depth on various topics such as selection of appropriate measure of excess risk and intermediate endpoints (theory and practice). For each topic, methodologic readings will be linked back to concrete examples of cohort study design, with special emphasis on practical aspects of study conduct.
SPH EP 858: Design and Conduct of Case-Control Studies
Graduate Prerequisites: SPH BS723 and EP813 or EP854.
This course will develop students? practical knowledge of the design and conduct of case-control studies. It will cover the relationship between cohort and case-control studies and study design issues, including identification of a study base, selection of cases and controls, collection of exposure information, sources of bias, and matching. Published papers will be used to illustrate design, bias, and analytic issues through reading and discussion. Each class includes a lecture and discussion of assigned articles.
SPH EP 860: Novel Analytical Methods for Epidemiology
Graduate Prerequisites: Doctoral level standing; must have completed EP854 and have SAS programming skills equivalent to BS805 or above.
This course is intended to introduce doctoral students to a number of advanced methods in data analysis, with the aim of providing students with the ability to recognize situations in which the use of such methods may be beneficial, knowledge of the basic methods needed to conduct analyses, and an understanding of the strengths and limitations of each method. The course covers approximately five analytic methods in a series of 2- or 3-session modules. Topics may vary slightly in different semesters; examples of the types of methods covered include propensity scores, marginal structural models, quantitative bias analysis, and Bayesian analysis. Hands-on sessions in the classroom, homework assignments, and a final data analysis project provide students with practice in the conduct of analyses using these methods.
SPH EP 861: Quantitative Bias Analysis Methods for Epidemiologic Research
Graduate Prerequisites: SPH EP854 and SAS at the level of SPH BS805
This course covers a novel approach to dealing with systematic error in epidemiologic research called quantitative bias analysis, QBA. QBA allows users to make corrections to measures of association for sources of bias by making assumptions typically using validation data about the nature of the bias to create intervals that account for total study error. The course will cover three types of bias analysis: simple, multidimensional and probabilistic. Exercises in Excel and SAS will allow students to practice the methods, adapt them to problems they face and present the results clearly.
SPH EP 980: Continuing Study
Graduate Prerequisites: MS or doctoral candidates in Epidemiology who have completed all academic course requirements for degree and are completing their thesis ordissertation.
PhD, DSc, and MS in Epidemiology students who have completed all academic course requirements, must register for Continuing Study every Fall and Spring semester until they have successfully defended their theses/dissertations and have graduated from SPH. Students are charged the equivalent of two credits of tuition, student health insurance, and all relevant fees, and are certified as full time.