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.

中文翻译：

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编辑观点：贝叶斯统计方法对儿童和青少年心理健康研究人员很有用

贝叶斯统计方法提供细微、详细和直观的分析，即使样本量很小。尽管这些品质与儿童和青少年心理健康研究人员高度相关，但贝叶斯方法仍然很少被采用。本编辑观点将简要描述贝叶斯统计方法的不同之处，讨论它们可能有益于我们领域研究的一些方式，并介绍贝叶斯统计如何应用于实际研究。