https://proa.ua.pt/index.php/jshd <p>The <em>Journal of Statistics in Health Decision</em> is an open-access peer-reviewed journal published by University of Aveiro (UA). The&nbsp;goal is to provide high-quality publications in the areas of Medical Statistics. Expert leaders in this field constitute editorial board.</p> University of Aveiro (UA) en-US Journal of Statistics on Health Decision 2184-5794 <p>When submitting an article to the <strong>Journal of Statistics on Health Decision</strong> (JSHD), authors certify the following clauses:</p> <ul> <li class="show"><strong>Originality and single submission</strong> – The contents presented in the article have not been published previously in whole or in part, and were not submitted or are not under active consideration elsewhere prior JSHD decision. The article is authentic and does not contain plagiarism.</li> <li class="show"><strong>Authorship</strong> – All authors reviewed the article, agreed with its content, and agreed to its submission to the JSHD. All the authorship criteria stated by&nbsp;The International Committee of Medical Journal Editors Guidelines were met.&nbsp;</li> <li class="show"><strong>Conflicts of interest</strong> – Any conflict of interests were declared. If authors have no declaration, it should be written (in the acknowledgements section): “The authors declare no conflict of interests”.&nbsp;</li> <li class="show"><strong>Ethics committee and informed consent</strong> (if applicable) – The current research was approved by an independent ethics committee and subjects gave their informed consent before they were enrolled in the study.&nbsp;</li> <li class="show">And authors&nbsp;agree to the Open Access license agreement of the Journal of Statistics on Health Decision, stated bellow.</li> </ul> https://proa.ua.pt/index.php/jshd/article/view/36913 <p>Statistical literacy is vital to the effective delivery of evidence-based mental healthcare. In this context, mediation and moderation models of mental processes have become increasingly popular, because of their potential to reveal possible causal mechanisms between variables or specific conditions for a given effect to occur. This brief article aims to introduce practicing mental health clinicians to statistical mediation and moderation models, by outlining their conceptual distinction, summarizing the underlying data analysis procedures, and discussing the implications of such models for clinical decision making in mental health practice.</p> Carlos Carona ##submission.copyrightStatement## http://creativecommons.org/licenses/by/4.0 2024-12-02 2024-12-02 6 2 e36913 e36913 10.34624/jshd.v6i2.36913