频数推理
荟萃分析
心理干预
贝叶斯概率
心理学
贝叶斯统计
贝叶斯推理
读写能力
应用心理学
计算机科学
人工智能
医学
精神科
教育学
内科学
作者
Christopher G. Thompson,Brandie Semma
标识
DOI:10.1016/j.adolescence.2020.05.001
摘要
We emphasize that in no way are Bayesian methods "superior" to frequentist methods, nor that frequentist methods should be abandoned. Instead, the two approaches should be viewed as familial, each with advantages and disadvantages, but strive at a common purpose. We hope for increased use of Bayesian meta-analyses, and Bayesian methodology at large, in adolescence research. Last, all R code is provided for readers to use as a foundation for their own research.
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