Appropriate Methodology of Statistical Tests According to Prior Probability and Required Objectivity

Details Appropriate Methodology of Statistical Tests According to Prior Probability and Required Objectivity Appropriate Methodology of Statistical Tests According to Prior Probability and Required Objectivity

2011-04-13

arxiv.org/abs/1104.2424v1

Statistics

Methodology

16 pages, 3 figures, and 1 table

Scientific paper

In contrast to its common definition and calculation, interpretation of p-values diverges among statisticians. Since p-value is the basis of various methodologies, this divergence has led to a variety of test methodologies and evaluations of test results. This chaotic situation has complicated the application of tests and decision processes. Here, the origin of the divergence is found in the prior probability of the test. Effects of difference in Pr(H0 = true) on the character of p-values are investigated by comparing real microarray data and its artificial imitations as subjects of Student's t-tests. Also, the importance of the prior probability is discussed in terms of the applicability of Bayesian approaches. Suitable methodology is found in accordance with the prior probability and purpose of the test.

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