Abstract

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.  

Partenariato

• Università degli Studi di Padova – Project Leader
• Università degli Studi di Udine
• Università degli Studi di Trento

Importo del progetto

Importo totale del progetto        Euro 251.897
Importo del progetto Uniud        Euro 52.070
di cui Finanziamento Uniud                   Euro 22.669

Durata

• 4 Febbraio 2025
• 4 Febbraio 2027

Link

https://www.stat.unipd.it/memimr-measurement-errors-and-missing-information-meta-regression