ds@mcpanalytics.aiEmail your data and your question and get an answer about your own data, with the method shown.Email your data and question. Get an answer.
Upload a CSV with one row per test, a column of p-values and, if you have one, a label for each test, and this tool shows which results still count after Bonferroni, Holm and Benjamini-Hochberg corrections.
The practical guide behind this tool: when it applies, how to read the output, and the traps that make it say the wrong thing.
Which results survive correction for multiple testing? Bonferroni, Holm and Benjamini-Hochberg, strict and lenient.
Complete analysis with charts, tables, and diagnostics.
Plain-English reading of the results and what to do next.
See our FAQ for pricing, privacy and how the analysis works.
MCP Analytics. Multiple comparisons. Free tool. https://mcpanalytics.ai/free/standard_multiple_comparisons_v2. Accessed [date you used it].
Tell us what went wrong, in your own words. We capture the page you're on automatically, so no need to describe where you are.