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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