Power and Sample Size Calculator

Calculate:

For a primary outcome that is:

For trial type:

Note: This tool is for individual-level Randomized Control Trials (RCTs), not clustered RCTs.

Non-inferiority margin using absolute risk difference:

One-sided significance level or α-value (alpha):

Common/Recommended Value is 0.05

Two-sided significance level or α-value (alpha):

Common/Recommended Value is 0.05

Statistical power or 1-β value (1-beta):

Common/Recommended Value is 0.8

1. Based on available data and literature from other cohort studies or Randomized Control Trials (RCTs).

This web app can quickly compute sample sizes and power values for data that is often enountered in epidemiological research scenarios without using R.
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