Advanced Training Course in Clinical Epidemiology

Applications are closed
Humanitas University’s Advanced Training Course in clinical epidemiology is intended for physicians and researchers in clinical and preclinical areas who wish to learn more about how to plan, carry out and analyse epidemiological investigations.

The Course

Humanitas University’s Advanced Training Course “Epidemiology For Clinical Research” aims to promote the application of quantitative methods for translational medicine to the study of clinically relevant research questions. Improving patient care is the heart of the training.

The course is intended for physicians and researchers in clinical and preclinical areas who wish to learn more about how to plan, carry out and analyse epidemiological investigations.

Professor Elio Riboli, Director of the Course, is assisted by a prestigious international faculty.

Duration One year
Frequency 5 weeks over the course of one year, from December 2018 to October 2019
Programme 5 modules including lectures and practicals
Credits (CFU) 35
Language English
Places available 15, assigned as per a qualifications-based ranking
Costs  € 4.000 (course only) / payable in 2 installments
Please check the ranking here 



The course is structured in 5 modules; each module comprises a combination of lectures and computer practicals. The statistical package Stata is used throughout. Case studies and literature examples will be used extensively to give students an appreciation for the application of epidemiologic principles to clinical settings. Each student will work on a project under the supervision of a tutor. These projects will be presented and discussed with all the students and the faculty at the end of the 1-year course.

Module 1: Introduction to epidemiological and biostatistical methods
Rozzano, 10-14 December 2018

This module provides an introduction to epidemiology and biostatistical methods. The epidemiological part covers basic principles of clinical epidemiology including development of research questions, options in study design, definition of bias, validity and generalizability. The introduction to biostatistics focuses on statistical inference: confidence intervals, statistical tests and likelihood theory. Theoretical sessions are followed by more applied sessions using the software Stata that is introduced during the module.

Module 2: Observational studies in clinical epidemiology
Rozzano, 21-25 January 2019

This module familiarizes students with use and analyze of observational studies in clinical epidemiology. The following topics are addressed: natural history of disease, design of case-control and cohort studies, application of these studies to conduct etiological research in clinical epidemiology and address issues of safety and short- and long-term side effects. These epidemiological sessions are followed by two days focused on generalized linear models and sample size calculation.

Module 3: Diagnostic and prognostic studies
Rozzano, 18-22 February 2019

The module covers theory, methods and practice of diagnostic and prognostic research. It covers basic and more advanced concepts, including sensitivity, specificity, likelihood ratios, ROC curves, discrimination, calibration, net reclassification. It discusses options in study design and potential sources of bias. Finally, it focuses on modelling, validation and case-studies.

Module 4: Intervention trials and survival analysis
Rozzano, 18-22 March 2019

This module is designed to introduce students to the theory, practice and analysis of intervention studies, including randomized controlled trials, non-randomized interventions and community interventions. Based on a range of examples students learn how to critically interpret and generalize results obtained from these studies. This module also focuses on survival analysis, including non-parametric methods, regression methods and more advanced issues, such as competing-risks.

Module 5: Advanced topics in clinical research
Rozzano, tbd April 2019

The last module covers relevant advanced topics in clinical epidemiology. These include the analysis of repeated measures and missing data, introduction to causal inference methods, cost-effectiveness analysis, molecular methods applied to clinical epidemiology, and emerging issues in clinical epidemiology

2 days October 2019

Teaching methods
Computer practicals using Stata statistical package;
Interactive lessons;
Audio-visual media, case studies and examples from the literature;
Development of a project under the supervision of a tutor;


Admission requirements

This Course is intended for medical professionals.

Applicants must have a master’s degree / medical specialty certificate or foreign qualification equivalent in

  • Biology;
  • Medical, veterinary or pharmaceutical biotechnology;
  • Pharmacy and industrial pharmacy;
  • Medicine and Surgery.

Preference is given to those applicants holding a medical specialty certificate and/or a Ph.D. or equivalent.  

Admission Process

There are 15 places available.

Admission is based on qualifications and possible interview.

The Commission takes into consideration the applicants’ CV, professional experience and proven aptitude for clinical and translational research.

For further information please read the Call for Applications.

To contact us, dial +39/ 02.8224.2369 or write to

How to apply

Applications are closed

The application procedure is described below.

1. Registration on MyPORTAL

During the registration phase you will be asked to insert your personal data and at the end you will receive a confirmation email with your username and password to access the system and go on to the following phases of the admission process.


2. Application for the Master in Epidemiology

In order to candidate, access your reserved area on MyPortal (click here to login) using the username and password received via mail in the registration phase. Select Registrar’s Office from the menu on your left and click on Admissions test.

To complete the application, attach the documents listed below (each file must be a PDF not exceeding 2 MB):

  • Application (Attachment 1) completed, dated and signed;
  • Curriculum Vitae et Studiorum complete with clinical experience gained in endoscopy;
  • Copy of a valid document of identification.

The declarations made in the admissions application (Attachment 1) have the same legal value as certifications as per the D.P.R. 445/2000.

Information entered can be modified until the moment of submission of the application.

3. Payment

On submission of the application, the system will automatically generate an email that confirms receipt of the application and that requests payment by credit card of the application fee of € 50(including duty stamp).

The application is considered completed only on payment of the application fee. This fee is non-refundable and must be paid within the application deadline.

Receipt of payment can be confirmed by accessing the reserved area with username and password.

For further information please call 02 8224 2369 or write to


  • Olof Akre
    Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
  • Michela Baccini
    Department of Statistics, Computer Science, Applications – “G. Parenti”, University of Florence, Italy
  • Rino Bellocco
    Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm,Sweden; Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Italy
  • Annibale Biggeri
    Department of Statistics, Computer Science, Applications – “G. Parenti”, University of Florence, Italy
  • Paolo Bruzzi
    Unit of clinical epidemiology, National Cancer Research Institute, Genoa, Italy
  • Dolores Catelan
    Department of Statistics, Computer Science, Applications – “G. Parenti”, University of Florence, Italy
  • Giovannino Ciccone
    AOU “Città della Salute e della Scienza di Torino”, Turin, Italy
  • Isabel dos Santos Silva
    Department of Non-communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, UK
  • Andrea Evangelista
    AOU “Città della Salute e della Scienza di Torino”, Turin, Italy
  • Milena Maule
    Department of Medical Sciences, University of Turin, Italy
  • Franco Merletti
    Department of Medical Sciences, University of Turin, Italy
  • Andreas Pettersson
    Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
  • Emanuele Pivetta
    Department of Medical Sciences, University of Turin, Italy
  • Costanza Pizzi
    Department of Medical Sciences, University of Turin, Italy
  • Elio Riboli
    Humanitas University, Rozzano, Italy
  • Lorenzo Richiardi
    Department of Medical Sciences, University of Turin, Italy
  • Daniela Zugna
    Department of Medical Sciences, University of Turin, Italy



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