Module 3 - Multivariable analysis

The training course will provide fellows with basic definitions and concepts for the different types of regression models. It will also provide the skills needed to perform and interpret multivariable analysis and to communicate the results. Therefore participants will acquire competencies in the areas of statistical data analysis, inferential statistics and written communication.
Lectures and exercises will be given in interactive sessions in a plenary room and will include discussions on the main results. There will be a homework exercise to complete prior to the module, and more than half of the time will be dedicated to 4 case studies, including computer exercises. Fellows will present their work in mini seminars and obtain feedback. There will be a review of published papers in groups and a practice on scientific writing.
Date and place: 14 – 18 March 2016: Belgrade, Serbia.

Please find the programme here.

At the end of the week, participants will be able to:
• To understand the principles of multivariable analysis
• To identify the analysis situations that require use of multivariable analysis (i.e., third factors, including effect modification and confounding)
• To identify the type of multivariable analysis (linear, logistic, poisson) that is adapted to a study objective / design Create a data entry file from a paper questionnaire
• To interpret the results of a regression model: Meaning of parameters and the corresponding inferences
• To manage a third factor (i.e., eliminate confounding and describe an interaction) in a logistic regression analysis.
• To build an optimal regression model
• Understand the principles of Poisson regression
• How to write the methods section of a manuscript

Coordinator of the module
• Macarena Garrido-Estepa, Spanish FETP coordinator, National Institute of Public Health (ISCIII), Madrid, Spain

Institute of Public Health of Serbia
• Dragan Ilic, Director
• Danijela Simic, Head of Department for HIV, STI, Hepatitis and Tuberculosis

MediPIET Team
• José Jaime de Domingo, Team Leader
• Adela Páez, Scientific Coordinator
• Nikoletta Mavroeidi, Scientific Coordinator
• Enric Ibarz, Project Officer
• Roberto Medina, Logistics Officer

Faculty team
• Nana Mebonia, National Centre for Disease Control and Public Health. Georgia.
• Uros Rakic. Institute of Public Health Dr Jovan Milanovic Batut. Serbia.
• Adela Castelló. National Institute of Public Health (ISCIII), Madrid, Spain.
• Joana Gomes Dias. ECDC, European Centre for Disease Prevention and Control. Stockholm.
• Anita Grgurevic. National Institute of Public Health Dr Jovan Milanovic Batut. Serbia
• Nissaf Bouafif ep Ben Alaya, Observatory of New and Emerging Diseases, Tunisia
• Semra Cavaljuga. Institute of Epidemiology and Biostatistics, School of Medicine, University of Sarajevo, Bosnia and Herzegovina.

Faculty:

Macarena Garrido Estepa

National Institute of Public Health
Spain

Nana Mebonia

National Centre for Disease Control and Public Health.
Georgia.
Uros Rakic
Institute of Public Health
Serbia

Adela Castelló
National Institute of Public Health (ISCIII)
Spain

Semra Cavaljuga
Institute of Epidemiology and Biostatistics, School of Medicine, University of Sarajevo
Bosnia and Herzegovina
Nissaf Bouafif ep. Ben Alaya
Observatory of New and Emerging Diseases, Ministry of Health
Tunisia

Joana Gomes Dias
ECDC, European Centre for Disease Prevention and Control
Stockholm

Anita Grgurevic
National Institute of Public Health (Dr Jovan Milanovic Batut)
Serbia

To download all training materials, please, visit our E-Library.