Course program

The Summer School offers courses at introductory and advanced levels. Students must choose one course from each block, for a total of two courses per week, and also choose between attending either one week or two weeks. The maximum number of student per class is 30. The Stata® courses are extra courses and they are independent of courses from other blocks. The fee for attending each Stata course is €400. Students attending summer school courses during the rest of the week pay a discounted fee of €250 per course. In most courses, Stata® is the statistical software used.

The Summer School offers courses at introductory and advanced levels. Students must choose one course from each block, for a total of two courses per week, and also choose between attending either one week or two weeks. In most courses, Stata® is the statistical software used. The maximum number of student per class is 30. Notice that courses will end on Saturday at noon, no lab/group sessions are given on Saturday afternoon (June 13 and June 20, 2010).



Sunday June 13, 2010
Stata 1
Introduction to Stata®
 U-L. Bell

  09.00-10.30 Lecture
  11.00-13.00 Lab
  14.00–15.00 Lecture
  15.30–17.00 Lab
Epidemiology with Stata®
 N. Orsini

  09.00-10.30 Lecture
  11.00-13.00 Lab
  14.00–15.00 Lecture
  15.30–17.00 Lab
Meta-analysis using Stata®
 R. D'Amico

  09.00-10.30 Lecture
  11.00-13.00 Lab
  14.00–15.00 Lecture
  15.30–17.00 Lab


June 14-19, 2010
Course Block 1
Biostatistics I
 M. Pagano


  08.30-10.30 Lecture
  14.00–15.30 Lab
Applied Linear
Regression
R. Bellocco

  08.30-10.30 Lecture
  14.00–15.30 Lab
Applied Logistic
Regression
D. Wypij

  08.30-10.30 Lecture
  14.00–15.30 Lab


June 14-19, 2010
Course Block 2
Principles of
Epidemiology
J. Adami


  11.00-13.00 Lecture
  16.00–17.30 Lab
Causal
Inference
A. Rotnitzky


  11.00-13.00 Lecture
  16.00–17.30 Lab
Survival
Analysis
P. Dickman


  11.00-13.00 Lecture
  16.00–17.30 Lab


Sunday June 20, 2010
Stata 2
Introduction to Stata®
 G. Capelli

  09.00-10.30 Lecture
  11.00-13.00 Lab
  14.00–15.00 Lecture
  15.30–17.00 Lab
Analysis of prospective studies with Stata®
 R. Bellocco

  09.00-10.30 Lecture
  11.00-13.00 Lab
  14.00–15.00 Lecture
  15.30–17.00 Lab
Regression modelling strategies with Stata®
 N. Orsini

  09.00-10.30 Lecture
  11.00-13.00 Lab
  14.00–15.00 Lecture
  15.30–17.00 Lab


June 21-26, 2010
Course Block 3
Statistical Genomics
G. Parmigiani


  08.30-10.30 Lecture
  14.00–15.30 Lab
Applied
Longitudinal Analysis
G. Fitzmaurice

  08.30-10.30 Lecture
  14.00–15.30 Lab
Monitoring and Evaluation
of Health Programs
M. Pagano

  08.30-10.30 Lecture
  14.00–15.30 Lab


June 21-26, 2010
Course Block 4
Biostatistics II
M. Bonetti


  11.00-13.00 Lecture
  16.00–17.30 Lab
Statistical Methods in
Environmental Epidemiology
F. Dominici


  11.00-13.00 Lecture
  16.00–17.30 Lab
Evidence Based Public Health
E. Savoia


  11.00-13.00 Lecture
  16.00–17.30 Lab




postmaster@biostatepi.org