editorial Open access
Editorial perspective: Bayesian statistical methods are useful for researchers in child and adolescent mental health
Erling Wright Rognlia✉, Rune Zahl‐Olsenb, Sondre Sverd Rekdalb, Asle Hoffartc d e f, Thomas Bjerregaard Bertelsenb g h
- aDepartment of Child and Adolescent Mental Health Services Akershus University Hospital Lørenskog Norway
- bDepartment of Child and Adolescent Mental Health Sørlandet Hospital Kristiansand Norway
- cDepartment of Psychology University of Oslo Oslo Norway
- dResearch Institute of Modum Bad Psychiatric Hospital Vikersund Norway
- eDepartment of Psychology, University of Oslo, Oslo, Norway
- fResearch Institute of Modum Bad Psychiatric Hospital, Vikersund, Norway
- gDepartment of Clinical Child and Adolescent Psychology University of Bergen Bergen Norway
- hDepartment of Clinical Child and Adolescent Psychology, University of Bergen, Bergen, Norway
- ✉Corresponding author
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Abstract
Bayesian statistical approaches offer nuanced, detailed, and intuitive analyses, even with small sample sizes. Although these qualities are highly relevant for researchers in child and adolescent mental health, Bayesian methods are still quite rarely employed. This editorial perspective will briefly describe what is different about Bayesian statistical methods, discuss some of the ways they may benefit research in our field, and provide an introduction to how Bayesian statistics are employed in practical research.

