Week 1: General Modules

Summer Course 2018
31st Residential Summer Course in Epidemiology
18 June – 22 June 2018

Week 1, Module 1
Epidemiological methods I:
Basic principles and introduction to study design
Franco Merletti, Anne-Marie Nybo Andersen, Lorenzo Richiardi, Daniela Zugna

  • Measurement in epidemiology
  • Measures of occurrence and association
  • Introduction to study design: descriptive studies, cross-sectional studies, case-control studies, cohort studies, intervention studies
  • Introduction to directed acyclyc graphs (DAGs)
  • Bias and confounding
Week 1, Module 2
Statistical methods in epidemiology I:
Basic principles
Simon Cousens and Costanza Pizzi

The course comprises a combination of lectures and computer practical sessions. The statistical package Stata is used throughout. The course begins with sessions which review key concepts in the frequentist approach to statistical inference: confidence intervals and the use of statistical tests and interpretation of P-values. This followed by two sessions on likelihood theory to explain the key ideas underlying likelihood theory and how the results obtained from likelihood theory link to the confidence intervals and P-values of the frequentist approach. These more theoretical sessions are then followed by sessions which apply the theory to the analysis of an epidemiological dataset. Analyses covered include analyses based on risks, odds and rates as well as an introduction to survival analysis. There is also a session on the use of stratification to investigate confounding and effect modification.