Clinical epidemiology is the application of epidemiologic principles and methods to problems encountered in public health and clinical medicine. It provides important information for clinicians and health policy decision makers in order to identify risk factors for diseases and to determine optimal preventive, diagnostic and therapeutic strategies for individuals and populations. This course covers the key elements and methods of clinical epidemiology and combines theoretical concepts with practical applications using real world case examples. Participants will develop a study design as group exercise.
Day 1: Introduction to Public Health & Epidemiology
Overview of public health areas and methodological approaches, key epidemiological concepts, disease frequency & effect measures, study designs, bias, causal inference
Day 2: Risk & Treatment Prognosis
Determinants of disease, disease risk, prospective cohort study, risk function, prognosis studies, retrospective cohort study, Kaplan Meier curve, Cox-regression models
Day 3: Treatment Efficacy & Safety
Randomized clinical trial, design options, analysis of clinical trial, case-control study
Day 4: Study Design & Diagnosis
Presentation of study design, diagnostic studies, Bayes theorem
Day 5: Decision Analysis in Public Health & Medicine
Types of decision models, clinical decision analysis, cost-effectiveness analysis
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