New Method for Combining P-values in Meta-Analysis

Truncated product method for combining P-values.

We present a new procedure for combining P-values from a set of L hypothesis tests. Our procedure is to take the product of only those P-values less than some specified cut-off value and to evaluate the probability of such a product, or a smaller value, under the overall hypothesis that all L hypotheses are true. We give an explicit formulation for this P-value, and find by simulation that it c...

Combining Statistical Tests by Multiplying P-values

A general discussion on combining statistical hypothesis tests is followed by an application involving point source detection in skymaps. The traditional literature on combining statistical tests has concentrated on a regime in which p-values as large as 0.05 are still of interest, and in which it is dangerous to treat tests as truly independent. But for point source detection, very small p-val...

A cross- specialty analysis of relative values in the new version of Iranian relative values for physician

Background: The new version of relative values of diagnostic medical services was published in 2014. It was criticized that the previous edition was suffering from an imbalance between relative values related to various specialties and sub-specialties. The main aim of the new edition of the book was to address this problem by providing more balance relative values related to various specialties...

Conducting Meta-Analyses Based on p Values

Because of overwhelming evidence of publication bias in psychology, techniques to correct meta-analytic estimates for such bias are greatly needed. The methodology on which the p-uniform and p-curve methods are based has great promise for providing accurate meta-analytic estimates in the presence of publication bias. However, in this article, we show that in some situations, p-curve behaves err...

Sensitivity analysis for criteria values in decision making matrix of SAW method