Bayesian Methods for Prevention Research

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 tha...

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Bibliographic Details
Published in:Prevention science 2015-10, Vol.16 (7), p.1017-1025
Main Author: Kadane, Joseph B.
Format: Article
Language:English
Subjects:
Bayes Theorem
Child and School Psychology
Health Psychology
Humans
Hypotheses
Medicine
Medicine & Public Health
Models, Theoretical
Prevention
Preventive Health Services
Probability
Public Health
Rain
Sample size
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Summary: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.
ISSN:1389-4986
1573-6695
DOI:10.1007/s11121-014-0531-x