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6: Multiple Tests

Last updated

Jan 8, 2024
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- 5.7: Multiple Logistic Regression
- 6.1: Multiple Comparisons

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6.1: Multiple Comparisons
When you perform a large number of statistical tests, some will have P values less than 0.05 purely by chance, even if all your null hypotheses are really true. The Bonferroni correction is one simple way to take this into account; adjusting the false discovery rate using the Benjamini-Hochberg procedure is a more powerful method.
6.2: Meta-Analysis
To use meta-analysis when you want to combine the results from different studies, making the equivalent of one big study, so see if an overall effect is significant.

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