Methods for Pooling P-Values from (Dependent) Tests
Binomial Test
Bonferroni Method
Simulate Empirically-Derived Null Distributions
Fisher's Method
Results from testing the association between depressive symptoms and 2...
Inverse Chi-Square Method
Estimate the Effective Number of Tests
Convert Correlations Among Multivariate Normal Test Statistics to Cova...
Methods for Pooling P-Values from (Dependent) Tests
Print Method for 'poolr' Objects
Stouffer's Method
Tippett's Method
Functions for pooling/combining the results (i.e., p-values) from (dependent) hypothesis tests. Included are Fisher's method, Stouffer's method, the inverse chi-square method, the Bonferroni method, Tippett's method, and the binomial test. Each method can be adjusted based on an estimate of the effective number of tests or using empirically derived null distribution using pseudo replicates. For Fisher's, Stouffer's, and the inverse chi-square method, direct generalizations based on multivariate theory are also available (leading to Brown's method, Strube's method, and the generalized inverse chi-square method). An introduction can be found in Cinar and Viechtbauer (2022) <doi:10.18637/jss.v101.i01>.