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Holm-Bonferroni Multiple Comparison Correction In Minutes

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Running holm-bonferroni multiple comparison correction analysis...

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How it works

Apply Holm-Bonferroni and other multiple comparison corrections to hypothesis test p-values, comparing which tests survive under FWER and FDR control methods with interactive step-down procedure visualization.

Use this when you need holm-bonferroni multiple comparison correction on your data.

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Built for: Analyst, data scientist, business user

Typical data source: CSV with relevant columns

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What's in the report?

Apply Holm-Bonferroni and other multiple comparison corrections to hypothesis test p-values, comparing which tests survive under FWER and FDR control methods with interactive step-down procedure visualization.

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Holm Step-Down Procedure

Step-by-step Holm-Bonferroni correction with ordered p-values

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Decision Matrix

Which tests are significant under each correction method

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Detailed Results

Adjusted p-values across all correction methods

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Effect Size Analysis

Effect sizes colored by statistical significance

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FWER Motivation

How family-wise error rate inflates with number of tests

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Methodology

Comparison of FWER vs FDR control approaches

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Method Comparison Scatter

Raw vs adjusted p-values across correction methods

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Method Comparison

Number of rejected hypotheses per correction method

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AI Insights

Plain-English interpretation — what the numbers mean, what's significant, and what to do next.

Questions?

See our FAQ for details on pricing, data privacy, and how the analysis works. Every report includes a Methodology section showing the statistical test, assumptions checked, and diagnostics run.

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