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预防研究的贝叶斯方法

Bayesian Methods for Prevention Research.

作者信息

Kadane Joseph B

机构信息

Department of Statistics, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.

出版信息

Prev Sci. 2015 Oct;16(7):1017-25. doi: 10.1007/s11121-014-0531-x.

Abstract

Bayesian statistics represents a paradigm shift in statistical reasoning and an approach to analysis that is applicable to prevention trials with small samples. This paper introduces the reader to the philosophy behind Bayesian statistics. This introduction is followed by a review of some issues that arise in sampling statistics and how Bayesian methods address them. Finally, the article provides an extended illustration of the application of Bayesian statistics to data from a prevention trial that tested a family-focused intervention.

摘要

贝叶斯统计学代表了统计推理的范式转变,是一种适用于小样本预防试验的分析方法。本文向读者介绍了贝叶斯统计学背后的理念。在这一介绍之后,回顾了抽样统计学中出现的一些问题以及贝叶斯方法是如何解决这些问题的。最后,本文对贝叶斯统计学在一项测试以家庭为重点干预措施的预防试验数据中的应用进行了详细说明。

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