Get to know us better

Stefano Renzetti,
MSc -


Analytical and IT Skills

· R

· Power analysis


· Regression analysis

· Stata

· Mixed models

· Matlab


· AutoCAD


· OS X, Windows OS




MSc in Biostatistics at Università degli Studi di Milano Bicocca, Milan, Italy                             2013 – 2015

BSc in Mathematics Engineering at Politecnico di Milano, Milan, Italy                                       2007 – 2011

GCP (Essential Guidelines and Legislation 2016)



STATISTICAMEDICA Ltd, biostatistics company in Dublin, Ireland                                  Nov 2016 – Present
Biostatistician reporting to Director of Biostatistics

·      Study design, statistical analysis of study data (hypothesis tests, linear and logistic regression, survival curves, ROC curves, etc.)

·      Biostatistical programming in R and SAS

·      Statistical documentation development and review

·      Double programming as a lead programmer

·      Code walk-through and validation in single programming


ICAHN SCHOOL OF MEDICINE at Mount Sinai                                                                      Jan 2016 – Oct 2016
Department of Environmental Medicine and Public Health


·      Part of the CHEAR consortium (Children’s Health Exposure Analysis Resource)

·      Development of an R package allowing the use of a new functionality of the WQS regression

·      Participating in the projects related to pregnancy and pediatrics


HARVARD T.H. CHAN SCHOOL OF PUBLIC HEALTH                                                           Mar 2015 – Sep 2015
Department of Environmental Health


·      Participating in the project on epidemiology



·      Renzetti S, Just AC, Burris HH, Oken E, Amarasiriwardena C, Svensson K, Mercado-Garcìa A, Cantoral A, Schnaas L, Baccarelli AA, Wright RO, Téllez-Rojo MM. The association of lead exposure during pregnancy and childhood anthropometry in the Mexican PROGRESS cohort. Environ Res. 2017. DOI: 10.1016/j.envres.2016.10.014

·      Stefano Renzetti, Paul Curtin, Allan C Just, Chris Gennings (2016). gWQS: Generalized Weighted Quantile Sum Regression. R package version 1.0.0.