What is it about?
A sequential method based on constrained Bayesian methods is developed for testing multiple hypotheses. It controls the family-wise error rate and the family-wise power in a more accurate form than the Bonferroni or intersection scheme using the ideas of step-up and step- down methods for multiple comparisons of sequential designs. The new method surpasses the existing testing methods proposed earlier in a substantial reduction of the expected sample size.
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Why is it important?
The new method surpasses the existing testing methods proposed earlier in a substantial reduction of the expected sample size.
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This page is a summary of: Constrained Bayesian Method for Testing Multiple Hypotheses in Sequential Experiments, Sequential Analysis, April 2015, Taylor & Francis,
DOI: 10.1080/07474946.2015.1030973.
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