MEMIMR: Measurement Errors and Missing Information in Meta-Regression

Scientific Responsible for the Department: Annamaria Guolo

Funder: MUR - PRIN 2022

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.  

Partners:

• University of Padova
• University of Udine
• University of Trento

 Duration: February 2025 – February 2027