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 (except for the third week when the Cancer Survival course counts as two), and also choose between attending either one week, two weeks or three weeks. The maximum number of student per class is 30. In most courses, Stata® is the statistical software used. The Stata® courses are extra courses to help students strenghtens their Stata skills 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 Stata course.

Notice that courses will end on the Saturday morning, and no lab/group sessions are given on Saturday afternoon (9 June, 16 June, and 23 June 2012). An exception is the course Statistical methods for population-based cancer survival analysis that instead will end on Friday afternoon.

Please also note that a certificate awarding ceremony will be take place on Saturday morning at 12:00-13:00.

Sunday June 3, 2012
Stata 1
Introduction to Stata®
 S. Venturini


  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
Tables for epidemiologists using Stata®
 N. Orsini

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


June 4-9, 2012
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 Quantile
Regression
M. Bottai

  08.30-10.30 Lecture
  14.00–15.30 Lab


June 4-9, 2012
Course Block 2
Principles of Epidemiology
J. Buring



  11.00-13.00 Lecture
  16.00–17.30 Lab
Applied Logistic
Regression
D. Wypij


  11.00-13.00 Lecture
  16.00–17.30 Lab
Missing data
in observational and randomized studies
N.J. Horton

  11.00-13.00 Lecture
  16.00-17.30 Lab


Sunday June 10, 2012
Stata 2
Introduction to Stata®
 D. Rizzuto

  09.00-10.30 Lecture
  11.00-13.00 Lab
  14.00–15.00 Lecture
  15.30–17.00 Lab
Flexible dose-response analysis with Stata®
 N. Orsini

  09.00-10.30 Lecture
  11.00-13.00 Lab
  14.00–15.00 Lecture
  15.30–17.00 Lab
Multiple imputation of missing data with Stata®
 R. Bellocco

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


June 11-16, 2012
Course Block 3
Modern Epidemiology
J. Kasperzyk


  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 11-16, 2012
Course Block 4
Biostatistics II
M. Bonetti


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


  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


Sunday June 17, 2012
Stata 3
Introduction to Stata® for survival analysis
 S. Eloranta & T. Andersson

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


June 18-23, 2012
Course Block 5
Causal Inference
A. Rotnizky

  08.30-10.30 Lecture
  14.00-15.30 Lab

Clinical Trials
D. Harrington

  11.00-13.00 Lecture
  16.00-17.30 Lab
Statistical methods for population-based cancer survival analysis

P. Dickman & P. Lambert

  Monday-Friday
  9.00-18.00

http://cansurv.net




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