Course program

Students choose between attending for one week or two weeks. For the first week a student can choose one course from Block 1 and one from Block 2, OR choose the course offered in Block 3. For the second week, students can choose one course from Block 4 and one from Block 5, OR choose the course offered in Block 6. No afternoon sessions will be held on Saturdays. Stata® is the statistical software used in most courses. The Sunday Stata® courses are extra courses, and independent of courses from other blocks.



Sunday June 4, 2023
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
  14.00-15.30 Lecture
  16.00-17.00 Lab
Analysis of prospective studies using Stata®
R. Bellocco

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


June 5-10, 2023
Course Block 1

June 5-10, 2023
Course Block 3

Principles of Biostatistics
N. Orsini


  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

M. Santacatterina

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

P. Dickman &
P. Lambert
T. Andersson &
M. Rutherford &
E. Syriopoulou

  08.30-13.00
  14.00-17.30

June 5-10, 2023
Course Block 2

Principles of Epidemiology
E. Mostofsky



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

M. Bottai


  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


Sunday June 11, 2023
Stata 2

Basics of Stata®
F. Gallo


  09.00-10.30 Lecture
  11.00-13.00 Lab
  14.00–15.00 Lecture
  15.30–17.00 Lab
Epi Tables using Stata®
A. Discacciati


  09.00-10.30 Lecture
  11.00-13.00 Lab
  14.00-15.30 Lecture
  16.00-17.00 Lab
Practical Introduction
to Propensity Score

K. Diaz

  09.00-10.30 Lecture
  11.00-13.00 Lab
  14.00-15.30 Lecture
  16.00-17.00 Lab
Multiple Imputation
to handle missing data

T. Morris

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


June 12-17, 2023
Course Block 4

June 12-17, 2023
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
Applied Epidemiologic Methods:
Integrating Diet/Lifestyle and
Omics in the Era of
Precision Nutrition

M. Song

  08.30-10.30 Lecture
  14.00-15.30 Lab
Media analytics and population surveys
for public policies


E. Savoia & F. Zollo

  08.30-13.00
  14.00-17.30

June 12-17, 2023
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
Mediation Analysis
A. Bellavia


  11.00-13.00 Lecture
  16.00-17.30 Lab


postmaster@biostatepi.org