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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.
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Week 1 general modules
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Week 2 general modules
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Week
3 special modules
Week
1 general modules
22 June - 26
June 2009
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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
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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
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Week
2 general modules
29
June
- 3 July 2009
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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
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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
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Computer
analysis of epidemiological data sets :
Paco Fernandez, Pietro Ferrari, Manolis Kogevinas, Stefano
Mattioli, Jørn Olsen, Jacopo Pasquini, Rodolfo Saracci,
Aurelio Tobias
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Week
3 special modules
6
July - 10 July 2009
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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
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Clinical Epidemiology
Matthias Egger
This
sixteen hours module covers the following topics.
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Introduction
to clinical epidemiology
-
Making
a diagnosis
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Screening
for disease
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Making
a prognosis
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Finding
about benefits and harms of treatments
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Synthesizing
evidence : meta-analysis and systematic reviews
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Essentials
of critical appraisal of evidence
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Applying
study results to the individual patient
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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
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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
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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
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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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