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22nd Residential Summer Course in Epidemiology
Florence, 22 June - 10 July 2009

s is not the final program , in the following days it can be adjusted by the course Director.
Thanks of your understanding.

• Week 1 general modules
Week 2 general modules
Week 3 special modules

Week 1 general modules
22 June - 26 June 2009


Epidemiological methods I :

basic principles and introduction to study design

Franco Merletti, Neil Pearce, Lorenzo Richiardi, Rodolfo Saracci

  • Measurement in epidemiology
  • Rates and risk in epidemiology. Attributable risk
  • Cohort studies
  • Cross-sectional studies and sampling surveys
  • Introduction to confounding


Statistical methods in epidemiology I : basic principles

Bianca De Stavola, Laura Ciccolallo

  • Probability models and Bayes rule. Likelihood for the parameter of a binary model
  • Consecutive follow-up intervals, life-tables, Kaplan-Meier survival curves
  • The Gaussian probability model. Approximate likelihoods. The supported range for a risk and a rate
  • Confidence intervals, null hypotheses and p-values. Likelihood ratio tests and score tests. One-sided p-values
  • Likelihood for the rate ratio. The profile likelihood. Estimation and testing for the rate ratio

 

Week 2 general modules
29 June - 3 July 2009


Epidemiological methods
II : case control studies

Manolis Kogevinas, Jørn Olsen, Rodolfo Saracci

  • Overview of case-control studies
  • Principles for selecting controls
  • Bias of information and selection
  • Use of biomarkers
  • New case-control design


Statistical methods in epidemiology II
:
analysis of cross-sectional and case-control studies

Simon Cousens

  • Odds in case-control studies
  • Stratifying and controlling
  • Logistic regression models
  • Mantel-Haenszel methods
  • Matched case-control studies

Computer analysis of epidemiological data sets :

Paco Fernandez, Pietro Ferrari, Manolis Kogevinas, Stefano Mattioli, Jørn Olsen, Jacopo Pasquini, Rodolfo Saracci, Aurelio Tobias

 

Week 3 special modules
6 July - 10 July 2009


Cancer epidemiology


Dimitrios Trichopoulos

  • Overview of cancer biology
  • Viral, chemical and radiation carcinogenesis
  • Diet and cancer
  • Selected cancer sites (breast, lung, liver, colon, prostate)
  • Cancer screening


Clinical Epidemiology


Matthias Egger

This sixteen hours module covers the following topics.
  • Introduction to clinical epidemiology
  • Making a diagnosis
  • Screening for disease
  • Making a prognosis
  • Finding about benefits and harms of treatments
  • Synthesizing evidence : meta-analysis and systematic reviews
  • Essentials of critical appraisal of evidence
  • Applying study results to the individual patient


Epidemiology and environment


Part I :
global climatic change and health

Anthony McMichael

  • Global climatic changes : unfamiliar temporal scales
  • Epidemiology and systemic environmental changes
  • Scenario-based health risk assessment
  • Use of integrated modelling techniques
  • Handling and communication of uncertainty


Part II : local and occupational environment and health

Josep Antó
, Jordi Sunyer

  • Epidemiological design and applications
  • Exposure measurements : ecological and individual
  • Spatial and temporal clusters
  • Effects measurements. Biological markers
  • Risk assessment


Part III :
social environment and health

Bruna Galobardes


  • Socioeconomic differentials in health
  • National and international comparisons
  • Socioeconomic indicators in epidemiological research
  • Early life and later socioeconomic differences in health
  • The longitudinal, lifecourse approach to investigate health


Statistical methods in epidemiology III :

analysis of follow-up studies

Per Kragh Andersen, Michela Baccini, Annibale Biggeri, Corrado Lagazio

  • Survival curves
  • Rates and Poisson regression
  • Rates that vary with age and other time scales
  • Cox regression
  • Exposure that change during follow-up

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