MEMIMR: Measurement Errors and Missing Information in Meta-Regression

Scientific Responsible for the Department: Annamaria Guolo, Principal Investigator and Head of the Local Unit

Funder: Ministry of University and Research within the framework of the Call concerning the rolling of the final lists of the PRIN 2022 call for proposals

General Objectives: The project focuses on meta-analysis, which is considered the method of choice for the quantitative scientific synthesis of research results from different independent studies about the same issue of interest. The Project aims at proposing efficient and advanced solutions for the meta-analysis framework, known as meta-regression, where heterogeneity between studies is explained through study-specific characteristics, or covariates. The Project intends to face two main challenges in meta-regression that the current literature identifies in (i) measurement error problems in covariates due to study-level aggregation and (ii) missing data for covariates from different studies.  

Members of the local research unit:

• Prof. Annamaria Guolo
• Prof. Alessandra Salvan
• Prof. Nicola Sartori

Research Network:

• University of Padova - Project Leader
• University of Udine
• University of Trento

 Duration: February 2025 – February 2027