GlenmontPSYCHIATRIC ASSOCIATESClinician tools
Glenmont clinician tools / v1.4 draft

Effect Size Workbench

From test results to probabilities. From trial results to absolute effects.
Explore the numbers, assumptions, and uncertainty behind a clinical claim.

Hypothetical examples loaded. Calculations run locally.
01 / Treatment inputs

Describe the treatment effect

Choose group counts or a published estimate. Use Worked Examples for sourced or hypothetical walkthroughs.

Group-count calculations assume independent parallel groups and one binary outcome per person at the same follow-up. Published-effect conversions preserve the supplied estimate; they do not reconstruct counts or remove confounding.

02 / Results

Relative and absolute effects

Methods & limits

Risk difference = treatment risk − control risk. Its 95% CI uses Newcombe's unpaired score method (Wilson intervals; no continuity correction). RR = treatment risk / control risk. OR compares event odds. Ratio CIs use a log-normal approximation when all four cells are positive; otherwise no ratio CI is reported and no 0.5 correction applied.

NNTB / NNTH = 1 / absolute risk difference, rounded up, interpreted using outcome direction and follow-up. The interval inverts the risk-difference CI. If the CI includes zero, a single finite NNT interval is inappropriate.

Intervals reflect sampling uncertainty under the model, not bias, missing data, applicability, or confounding. Sparse-data ratio intervals may be unreliable. Cochrane guidance · Newcombe (1998).