Objectives: Scholars will recognize and understand different types of epidemiologic study designs, the relative strengths and limitations of each, and the proper choice of study design in conducting their own research. They will also be able to identify and calculate the correct measure of risk for each study design. Participants will recognize major sources of bias, confounding, interaction and misclassification, and understand design and analysis methods of dealing with each. They will also be familiar with criteria to differentiate association from causation, and understand the components of causality. Participants will conclude this course with a written final examination.
Course Content
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Introduction | Disease transmission, population based investigation |
Epidemiological Measurement | Rates, adjusted rates, prevalence, incidence |
Cross-Sectional Studies | Design, implementation and analysis |
Prospective/Cohort Studies | Design, implementation and analysis |
Case Control Studies | Design, implementation and analysis |
Intervention Studies/Experimental | Design, implementation and analysis |
Bias, Confounding and Interaction | How to recognize, avoid, or correct |
Screening and Diagnostic Testing | Sensitivity, specificity, screening programs |
Causality | Association vs. Causality, components of causality |
Review for Final Exam | |
Epi I Syllabus & Schedule 2019