Study Design & Power
Plan the sample size of a study: a priori from an expected effect size (no data needed), or from pilot data
by the effect-size model, by resampling for the exact test you will run, as a biomarker learning curve or per pathway.
No data yet
| Opens the a priori planner: design, expected effect sizes, number of features and alpha adjustment. |
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Pilot data (.csv / .txt)
Try our example data
| Data |
Description |
| Dataset (CSV) |
Metabolite concentrations of 77 urine samples from a pilot study on cancer patients: group 1 - cachexic (47),
group 2 - control (30). |
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