Course program

The Summer School offers courses at introductory and advanced levels. Students can choose between attending one or two weeks. Students can choose between attending one or two weeks. For the first week one course can be chosen from blocks 1 and 2, OR from block 3. For the second week one course can be chosen from blocks 4 and 5, OR from block 6. In most courses, Stata® is the statistical software used. The Stata® courses are extra courses to help students strengthen their Stata® skills and they are independent of courses from other blocks. The standard 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. Please note that courses will end on the Saturday morning, and that no lab/group sessions are given on Saturday afternoon (June 2 and June 9, 2019). A certificate awarding ceremony will be take place on Saturday morning at 12:00-13:00.



Sunday June 2, 2019
Stata 1

Basics of Stata®
B. Pongiglione

  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
Data visualization with Stata®
G. Capelli

  09.00-10.30 Lecture
  11.00-13.00 Lab
  14.00-15.30 Lecture
  16.00-17.00 Lab
Analysis of prospective studies using Stata®
F. Ghilotti

  09.00-10.30 Lecture
  11.00-13.00 Lab
  14.00-15.30 Lecture
  16.00-17.00 Lab


June 3-8, 2019
Course Block 1

June 3-8, 2019
Course Block 3

Principles of Biostatistics

M. Pagano

  08.30-10.30 Lecture
  14.00-15.30 Lab
Linear Regression
for Medical Research

R. Bellocco

  08.30-10.30 Lecture
  14.00-15.30 Lab
Causal Inference
in Epidemiology

N. Jewell

  08.30-10.30 Lecture
  14.00-15.30 Lab
Big Data Analytics in Healthcare: Value, Effectiveness and Safety *

S. Schneeweiss, K. Huybrechts

  08.30-13.00
  14.00-17.30

June 3-8, 2019
Course Block 2

Principles of Epidemiology
E. Mostofsky


  11.00-13.00 Lecture
  16.00-17.30 Lab
Logistic Regression
for Medical Research

K. Gauvreau

  11.00-13.00 Lecture
  16.00-17.30 Lab
Mediation Analysis
A. Bellavia

  11.00-13.00 Lecture
  16.00-17.30 Lab


Sunday June 9, 2019
Stata 2

Basics of Stata®
F. Gallo

  09.00-10.30 Lecture
  11.00-13.00 Lab
  14.0015.00 Lecture
  15.3017.00 Lab
Epi Tables using Stata®
A. Discacciati

  09.00-10.30 Lecture
  11.00-13.00 Lab
  14.0015.30 Lecture
  16.0017.00 Lab
Simulation studies in Stata®
T. Morris

  09.00-10.30 Lecture
  11.00-13.00 Lab
  14.0015.30 Lecture
  16.0017.00 Lab
Multiple Imputation 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 10-15, 2019
Course Block 4

June 10-15, 2019
Course Block 6

Research Methods in Health:
Biostatistics

M. Bonetti

  08.30-10.30 Lecture
  14.00-15.30 Lab
Longitudinal
Data Analysis

G. Fitzmaurice

  08.30-10.30 Lecture
  14.00-15.30 Lab
Molecular
Epidemiology

L. Mucci

  08.30-10.30 Lecture
  14.00-15.30 Lab
Monitoring and Evaluating Complex Public Health and Social Interventions
E. Savoia

  08.30-10.30 Lecture
  14.00-15.30 Lab
Statistical Methods for Population Based Cancer Survival Analysis

P. Dickman, P. Lambert

  08.30-13.00
  14.00-17.30

June 10-15, 2019
Course Block 5

Research Methods in Health:
Epidemiology

M. Mittleman

  11.00-13.00 Lecture
  16.00-17.30 Lab
Survival
Analysis

N. Orsini

  11.00-13.00 Lecture
  16.00-17.30 Lab
Nutritional Epidemiology:
Principles and Application to Cancer

M. Song

  11.00-13.00 Lecture
  16.00-17.30 Lab
Joint Modelling of Longitudinal and Survival Data
M. Crowther

  11.00-13.00 Lecture
  16.00-17.30 Lab


* This course can also be taken in its second part only, starting from Thursday.

postmaster@biostatepi.org