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 10 and June 17, 2017). A certificate awarding ceremony will be take place on Saturday morning at 12:00-13:00.



Sunday June 4, 2017
Stata 1

Basics of Stata®
B. Pongiglione

  09.00-10.30 Lecture
  11.00-13.00 Lab
  14.0015.00 Lecture
  15.3017.00 Lab
Meta-analysis using Stata®
R. D'Amico

  09.00-10.30 Lecture
  11.00-13.00 Lab
  14.0015.00 Lecture
  15.3017.00 Lab
Analysis of prospective studies using Stata®
L. Hong

  09.00-10.30 Lecture
  11.00-13.00 Lab
  14.0015.30 Lecture
  16.0017.00 Lab


June 5-10, 2017
Course Block 1

June 5-10, 2017
Course Block 3

Principles of Biostatistics

M. Pagano

  08.30-10.30 Lecture
  14.0015.30 Lab
Linear Regression
for Medical Research

R. Bellocco

  08.30-10.30 Lecture
  14.0015.30 Lab
Causal Inference
in Epidemiology

A. Sjölander

  08.30-10.30 Lecture
  14.0015.30 Lab
Effectiveness Research with
Longitudinal Healthcare Databases
  *


S. Schneeweiss & E. Patorno


  08.30-13.00
  14.0017.30

June 5-10, 2017
Course Block 2

Principles of Epidemiology
E. Mostofsky


  11.00-13.00 Lecture
  16.0017.30 Lab
Logistic Regression
for Medical Research

D. Wypij

  11.00-13.00 Lecture
  16.0017.30 Lab
Survival
Analysis

P. Dickman

  11.00-13.00 Lecture
  16.0017.30 Lab


Sunday June 11, 2017
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
Tables for epidemiologists using Stata®
A. Discacciati

  09.00-10.30 Lecture
  11.00-13.00 Lab
  14.0015.30 Lecture
  16.0017.00 Lab
Multiple Imputation using Stata®
G. DiTanna

  09.00-10.30 Lecture
  11.00-13.00 Lab
  14.0015.00 Lecture
  15.3017.00 Lab
Data Visualization using Stata®
G. Capelli

  09.00-10.30 Lecture
  11.00-13.00 Lab
  14.0015.30 Lecture
  16.0017.00 Lab


June 12-17, 2017
Course Block 4

June 12-17, 2017
Course Block 6

Research Methods in Health:
Biostatistics

M. Bonetti

  08.30-10.30 Lecture
  14.00-15.30 Lab
Mediation
Analysis

L. Valeri

  08.30-10.30 Lecture
  14.0015.30 Lab
Longitudinal
Data Analysis

G. Fitzmaurice

  08.30-10.30 Lecture
  14.0015.30 Lab
Monitoring and Evaluation
of Public Health Programs: Systems Approaches and Techniques



M. Pagano & E. Savoia


  08.30-13.00
  14.0017.30

June 12-17, 2017
Course Block 5

Research Methods in Health:
Epidemiology

M. Mittleman

  11.00-13.00 Lecture
  16.0017.30 Lab
Competing Risks for
Survival Analysis

N.P. Jewell

  11.00-13.00 Lecture
  16.0017.30 Lab
Flexible Modeling
of Quantitative Predictors

N. Orsini

  11.00-13.00 Lecture
  16.0017.30 Lab


* This course can also be taken in its second part only, starting from Thursday (please contact us for details).

postmaster@biostatepi.org