Journal article
A Bayesian Approach to the Multiple Comparisons Problem
Journal of data science, Vol.4(2), pp.131-146
07/13/2021
DOI: 10.6339/JDS.2006.04(2).266
Abstract
Consider the problem of selecting independent samples from several populations for the purpose of between-group comparisons. An important aspect of the solution is the determination of clusters where mean levels are equal, often accomplished using multiple comparisons testing. We formulate the hypothesis testing problem of determining equal-mean clusters as a model selection problem. Information from all competing models is combined through Bayesian methods in an effort to provide a more realistic accounting of uncertainty. An example illustrates how the Bayesian approach leads to a logically sound presentation of multiple comparison results.
Details
- Title: Subtitle
- A Bayesian Approach to the Multiple Comparisons Problem
- Creators
- Andrew A NeathJoseph E Cavanaugh
- Resource Type
- Journal article
- Publication Details
- Journal of data science, Vol.4(2), pp.131-146
- DOI
- 10.6339/JDS.2006.04(2).266
- ISSN
- 1680-743X
- eISSN
- 1683-8602
- Language
- English
- Date published
- 07/13/2021
- Academic Unit
- Statistics and Actuarial Science; Biostatistics; Injury Prevention Research Center
- Record Identifier
- 9984214681002771
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