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Absolute risk and NNT calculator

Pubrica’s free calculator converts event counts from two trial arms into the absolute risk reduction, number needed to treat, risk ratio and odds ratio, each with a confidence interval. Enter the events and participants in the control and treatment arms to report results in clinically interpretable terms.

The tool runs in your browser. No registration, email address or file upload is required, and the formula, reference or assessment criteria used are shown with the result.

Every tool
  • Runs in your browser
  • Nothing uploaded or stored
  • No email asked for
  • Method shown with the answer
  • Sources dated

The Tool

Calculate Absolute Risk Reduction and Number Needed to Treat

Calculates absolute risk reduction, number needed to treat, risk ratio and odds ratio, each with a confidence interval, from two trial arms.

05

Calculates absolute risk reduction, number needed to treat, risk ratio and odds ratio, each with a confidence interval, from two trial arms.

ARR · NNT · RR · OR

Limitations

What This Tool Does Not Cover

Use the result as a starting point. These are the situations in which it needs specialist review.

The calculators

Limitations of the calculators

The sample size calculator gives the closed-form answer for two independent groups. Cluster randomisation, interim analyses, a non-inferiority margin, repeated measures and competing risks each change the number materially, and none of them can be handled by inflating the answer afterwards. The same applies to the test chooser: it cannot know that your observations are clustered within clinics, and clustering overrides almost everything else it would tell you.

Method

Methods and Sources

The calculation or reference set behind this tool. The result panel also shows the formula or criteria used.

Risk and NNT

Altman

Katz’s log method for the risk-ratio interval, Woolf’s for the odds ratio, and Altman’s convention for reporting a number-needed-to-treat interval that crosses no difference as benefit to infinity to harm.

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