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Efron, B. (2013) Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction. Cambridge University Press, Cambridge.

has been cited by the following article:

• TITLE: A Note on the Connection between Likelihood Inference, Bayes Factors, and P-Values

  AUTHORS: Andrew A. Neath

  KEYWORDS: Hypothesis Testing, Likelihood Principle, Statistical Evidence

  JOURNAL NAME: Open Access Library Journal, Vol.4 No.1, January 4, 2017

  ABSTRACT: The p-value is widely used for quantifying evidence in a statistical hypothesis testing problem. A major criticism, however, is that the p-value does not satisfy the likelihood principle. In this paper, we show that a p-value assessment of evidence can indeed be defined within the likelihood inference framework. Included within this framework is a link between a p-value and the likelihood ratio statistic. Thus, a link between a p-value and the Bayes factor can also be highlighted. The connection between p-values and likelihood based measures of evidence broaden the use of the p-value and deepen our understanding of statistical hypothesis testing.