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 3 and June 10, 2018). A certificate awarding ceremony will be take place on Saturday morning at 12:00-13:00.



Sunday June 3, 2018
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
Data visualization with Stata®
G. Capelli

  09.00-10.30 Lecture
  11.00-13.00 Lab
  14.0015.30 Lecture
  16.0017.00 Lab
Analysis of prospective studies using Stata®
R. Bellocco

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


June 4-9, 2018
Course Block 1

June 4-9, 2018
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
Survival
Analysis

N. Orsini

  08.30-10.30 Lecture
  14.0015.30 Lab

Statistical Methods
for Population Based
Cancer Survival


P. Dickman & P. Lambert

  08.30-13.00
  14.0017.30


June 4-9, 2018
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
Causal Inference
in Epidemiology

A. Sjölander

  11.00-13.00 Lecture
  16.0017.30 Lab


Sunday June 10, 2018
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
  14.0015.00 Lecture
  15.3017.00 Lab


June 11-16, 2018
Course Block 4

Research Methods in Health:
Biostatistics

M. Bonetti

  08.30-10.30 Lecture
  14.00-15.30 Lab
Mediation
Analysis

A. Bellavia

  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
Competing Risks and Multiple State Models
for Survival Analysis Applications

N. Jewell

  08.30-10.30 Lecture
  14.00-15.30 Lab

June 11-16, 2018
Course Block 5

Research Methods in Health:
Epidemiology

M. Mittleman

  11.00-13.00 Lecture
  16.0017.30 Lab
Nutritional Epidemiology: Principles and Application to Cancer
M. Song

  11.00-13.00 Lecture
  16.0017.30 Lab
Joint Modelling of Longitudinal and Survival Data
M. Crowther


  11.00-13.00 Lecture
  16.0017.30 Lab




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