Fisher's combined probability test is the most commonly used method to test the overall significance of a set independent p-values. However, it is very obviously that Fisher's statistic is more sensitive to smaller p-values than to larger p-value and a small p-value may overrule the other p-values and decide the test result. This is, in some cases, viewed as a flaw. In order to overcome this flaw and improve the power of the test, the joint tail probability of a set p-values is proposed as a new statistic to combine and make an overall test of the p-values. Through the development of a method and a practical application, this study reveals that the new method has plausible properties and more power. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Fang, Y., & Wit, E. (2008). Test the overall significance of p-values by using joint tail probability of ordered p-values as test statistic. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5139 LNAI, pp. 435–443). Springer Verlag. https://doi.org/10.1007/978-3-540-88192-6_41
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