metaConvert

Automated effect sizes & error detection

A no-code, free and open-source tool that computes and converts effect sizes and, with the new metaDETECT framework, automatically detects likely data-extraction errors in your meta-analysis.

More on the calculations can be found on its CRAN or github page.

Open the app
New the metaDETECT framework
Catch data-extraction errors before starting your analyses
metaConvert now automatically applies the criteria proposed in the metaDETECT framework, running more than 50 checks to ensure the quality of your data. See how these checks work, with worked examples.
For meta-analysts For reviewers & editors
Backed by peer-reviewed research
metaDETECT Under review
Automated detection of data extraction errors in meta-analysis: the metaDETECT framework and software
Gosling CJ, Garcia-Argibay M, Haza Gomez B, Fusar-Poli P, Radua J, Solmi M, Delorme R, Riley RD, Cortese S.
metaConvert Published
metaConvert: an automatic suite for estimation of 11 different effect size measures and flexible conversion across them
Gosling CJ, Cortese S, Solmi M, Haza B, Vieta E, Delorme R, Fusar-Poli P, Radua J. Research Synthesis Methods. 2025;16(3):575-586. doi:10.1017/rsm.2025.11
Unique features
metaConvert esc compute.es esci metafor RevMan CMA
Data-extraction error detection metaDETECT
Automatic workflow
Number of effect measures
Conversion between effect measures
Aggregation of ES in multilevel situations
Multiple ES estimations per comparison
Dataset comparison
Meta-analytic calculations
Graphical-User Interface (no coding required)
Price
Cite our work
This app is free of charge, but please acknowledge our work by citing this reference whenever you use this app!
Gosling CJ, Cortese S, Solmi M, Haza B, Vieta E, Delorme R, Fusar-Poli P & Radua J. metaConvert: an automatic suite for estimation of 11 different effect size measures and flexible conversion across them. Research Synthesis Methods. 2025;16(3):575-586. doi:10.1017/rsm.2025.11
The team

Maintainer

Corentin J. Gosling, PhD
Université Paris Nanterre
Université Paris Cité
University of Southampton
Corentin Gosling is an Associate Professor of Neuropsychology at Université Paris Nanterre. He is also a visiting researcher at University of Southampton. One of his research interests focuses on developping new methodological and statistical tools for evidence synthesis.

Clinical and methodological team

Samuele Cortese, MD, PhD
University of Southampton
Solent NHS Trust
New York University
Samuele Cortese is currently Professor of Child and Adolescent Psychiatry at the University of Southampton and Honorary Consultant Child and Adolescent Psychiatry for Solent NHS Trust. He ranks #1 worldwide in terms of expertise on ADHD and #2 in child psychiatry according to Expertscape.
Marco Solmi, MD, PhD
University of Ottawa
Charité University Medicine
 
Marco Solmi is Associate Professor of Psychiatry at University of Ottawa. His clinical focus is on prevention/early intervention for mental disorders, physical health in mental disorders, and psychopharmacology. He ranks #5 worldwide in terms of expertise in systematic reviews and meta-analysis according to Expertscape.
Belen Haza, PhD
Université Paris Nanterre
 
 
Belen Haza is a PhD student in Neuropsychology at Paris Nanterre University. Her current research focuses on understanding the specificities of children with ADHD in social cognition. Additionally, she aims at developing a clinical tool for the assessment of their abilities in joint attention.
Eduard Vieta, MD, PhD
Hospital Clinic de Barcelona
University of Barcelona
 
Eduard Vieta Professor of Psychiatry and Chair at the University of Barcelona and Head of the Department of Psychiatry and Psychology at the Hospital Clinic, where he also leads the Bipolar and Depressive Disorders Program. His unit is one of the worldwide leaders in clinical care, teaching, and research on affective disorders.
Richard Delorme, MD, PhD
Hopital Robert Debré
Institut Pasteur
 
Richard Delorme is the Head of the Center of Excellence for Autism and Neurodevelopmental Disorders at Robert Debré Hospital in Paris, France. He has participated in the identification of the first genes involved in autism.
Paolo Fusar-Poli, MD, PhD
King's College London
University of Pavia
 
Paolo Fusar-Poli is a Professor of Preventive Psychiatry at King's College London where he heads the EPIC Lab. He ranked as the number two expert in psychosis in the world in 2019 according to expertscape and he was an external advisory member for the DSM-5 and DSM-5TR Psychosis Working Group, US.

Biostatisticians

Joaquim Radua, MD, PhD
University of Barcelona
King's College London
 
Joaquim Radua is a psychiatrist medical doctor and statistician interested in improving the treatment of psychiatric disorders. He is the developer of numerous methods for meta-analysis of neuroimaging studies and he has been named as one of the most cited researchers in Psychiatry and Psychology.
Richard D. Riley, PhD
University of Birmingham
 
 
Richard Riley is Professor of Biostatistics at the University of Birmingham and Chief Statistics Editor for The BMJ and BMJ Medicine. A world-leading methodologist in meta-analysis, risk prediction, and prognosis research, he co-developed the PROGRESS (PROGnosis RESearch Strategy) framework and is a global leader in individual participant data (IPD) meta-analysis.