Methods to adjust for multiple comparisons in the analysis and sample size calculation of randomised controlled trials with mult
Methods to adjust for multiple comparisons in the analysis and sample size calculation of randomised controlled trials with mult
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hypothesis testing - Many p-values are equal to 1 after Bonferroni correction; is it normal? - Cross Validated
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The cost of large numbers of hypothesis tests on power, effect size and sample size | Molecular Psychiatry
![Bonferroni adjustment Bonferroni adjustment (equally weighted) – Reject H 0j with p i <α/m – Pr (at least 1 test is rejected) = Pr(⋃ i=1,…,m {reject H. - ppt download Bonferroni adjustment Bonferroni adjustment (equally weighted) – Reject H 0j with p i <α/m – Pr (at least 1 test is rejected) = Pr(⋃ i=1,…,m {reject H. - ppt download](https://slideplayer.com/10067588/32/images/slide_1.jpg)
Bonferroni adjustment Bonferroni adjustment (equally weighted) – Reject H 0j with p i <α/m – Pr (at least 1 test is rejected) = Pr(⋃ i=1,…,m {reject H. - ppt download
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