Analysis of multicentre epidemiological studies: Contrasting fixed or random effects modelling and meta-analysis

Research output: Contribution to journalJournal articleResearchpeer-review

  • Xavier Basagaña
  • Pedersen, Marie
  • Jose Barrera-Gómez
  • Ulrike Gehring
  • Lise Giorgis-Allemand
  • Gerard Hoek
  • Massimo Stafoggia
  • Bert Brunekreef
  • Rémy Slama

Multicentre studies are common in epidemiological research aiming at identifying disease risk factors. A major advantage of multicentre over single-centre studies is that, by including a larger number of participants, they allow consideration of rare outcomes and exposures. Their multicentric nature introduces some complexities at the step of data analysis, in particular when it comes to controlling for confounding by centre, which is the focus of this tutorial. Commonly, epidemiologists use one of the following options: pooling all centre-specific data and adjusting for centre using fixed effects; adjusting for centre using random effects; or fitting centre-specific models and combining the results in a meta-analysis. Here, we illustrate the similarities of and differences between these three modelling approaches, explain the reasons why they may provide different conclusions and offer advice on which model to choose depending on the characteristics of the study. Two key issues to examine during the analyses are to distinguish within-centre from between-centre associations, and the possible heterogeneity of the effects (of exposure and/or confounders) by centre. A real epidemiological study is used to illustrate a situation in which these various options yield different results. A synthetic dataset and R and Stata codes are provided to reproduce the results.

Original languageEnglish
JournalInternational Journal of Epidemiology
Volume47
Issue number4
Pages (from-to)1343-1354
Number of pages12
ISSN0300-5771
DOIs
Publication statusPublished - 2018

    Research areas

  • Fixed effects, Meta-analysis, Multicentre study, Multilevel analysis, Random effects

ID: 238737451