Editorial perspective: Bayesian statistical methods are useful for researchers in child and adolescent mental health
Erling W. Rognli, Rune Zahl‐Olsen, Sondre Sverd Rekdal, Asle Hoffart, Thomas Bjerregaard Bertelsen
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.
Topics & Concepts
Bayesian probabilityPerspective (graphical)Bayesian statisticsPsychologyMental healthBayesian inferenceSample (material)Field (mathematics)Data scienceComputer scienceArtificial intelligencePsychiatryChemistryChromatographyPure mathematicsMathematicsStatistical Methods and Bayesian InferenceMental Health Research TopicsChild and Adolescent Psychosocial and Emotional Development