COST Action CA15132- hCOMET
3-day Course in Rome : Statistical and epidemiological issues in human biomonitoring studies: An hCOMET course


February 28th, 1st and 2nd of March 2018, Rome, Italy, IRCCS San Raffaele Pisana, Via di Val Cannuta 247/249


Organiser: Prof Stefano Bonassi (stefano.bonassi@sanraffaele.it)

Applications decision list

Number of participants will be limited (24 max)

hCOMET participation in covering the costs of travelling and accomodation: max 500 euros

Country

Name

Czech Republic

Anna Alaxinová

Portugal

Armanda Teixeira Gomes

France

Elisa Boutet-Robinet

Portugal

Carina Ladeira

Czech Republic

Katarína Bányiová

Spain

Vanessa Valdiglesias

Spain

Blanca Laffon

Croatia

Goran Gajski

Italy

Alessia Santoro

Norway

Lena Sareisian

Hungary

Mariam Kachlek

Austria

Franziska Ferk

Spain

Amaya Azqueta

Italy

Palma Lamonaca

France

Bertrand Pourrut

Italy

Giulia Prinzi

UK

Natassia Robinson

Italy

Stefania Proietti

Poland

Magdalena Matysiak-Kucharek

Czech Republic

Katerina Honkova

Czech Republic

Alena Opattova

Czech Republic

Sona Vodenkova

Portugal

Joana Madureira

   
Instructors
Stefano Bonassi (Italy)
Sabine Langie (Belgium)
Monica Neri (France)
Mirta Milić (Croatia)

Roger Godschalk (Netherlands)

Carlo Tomino (Italy)


The training course will be a combination of theoretical (lecture) and practical knowledge (hands-on training) and will cover specific topics:

Study design (1st day, duration: 7 hrs)

  • Choice of the best biomarker, biological and mechanistic issues

  • Literature review

  • Practical arrangements in biomarkers studies (choice of the best tissue, specimen collection and storage), most common biases, timing, operators training, etc.

  • Exposure assessment

  • Inclusion/exclusion criteria, ethical issues (consensus, privacy, risk comunication), sample size, observational or intervention studies, choice of controls (biological, exposure, and epidemiological issues)

  • Questionnaires: planning, validation, alfa cronbach, quali-quantitative variables.


 Data analysis (2nd day, duration: 7 hrs)

  • Concept of sample and population, statistical significance, hypothesis testing, univariate analysis, multivariable analysis, statistics with biomarkers

  • Statistical analysis of the alkaline comet assay data for DNA damage assessment, also with the use of enzymes for evaluating specific DNA damage (e.g. ENDO III, hOGG1, FPG) and the assessement of DNA repair

  • Statistical packages most often used for data management and statistical analysis of biomedical data


 Practical exercise (3rd day,duration 6 hrs): Planning, design and statistical analysis of a hypothetically exposed population