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The logic of the Fisher method to combine P-values
Consider a set of $latex k$ independent tests, each of these to test a certain null hypothesis $latex \mathcal{H}_{0|i}$, $latex i=\{1, 2, \ldots, k\}$. For each test, a significance level $latex P_{i}$, i.e., a p-value, is obtained. All these p-values can be combined into a joint test whether there is a global effect, i.e., if…
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The logic of the Fisher method to combine P-values
Consider a set of $latex k$ independent tests, each of these to test a certain null hypothesis $latex \mathcal{H}_{0|i}$, $latex i=\{1, 2, \ldots, k\}$. For each test, a significance level $latex P_{i}$, i.e., a p-value, is obtained. All these p-values can be combined into a joint test whether there is a global effect, i.e., if…
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The logic of the Fisher method to combine P-values
Consider a set of $latex k$ independent tests, each of these to test a certain null hypothesis $latex \mathcal{H}_{0|i}$, $latex i=\{1, 2, \ldots, k\}$. For each test, a significance level $latex P_{i}$, i.e., a p-value, is obtained. All these p-values can be combined into a joint test whether there is a global effect, i.e., if…
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