How to calculate clinical study sample size
Sample size calculation is required in your protocol and IRB submission. This guide covers common cases without requiring specialized software.
- 1
Define your hypothesis and primary variable type
State H0 and H1. Identify if the primary variable is continuous, binary, or time-to-event.
- 2
Estimate the minimum clinically relevant effect
Not the expected effect, but the minimum that would be clinically useful.
- 3
Choose significance level and power
Conventionally alpha = 0.05, power = 0.80. Confirmatory studies may require 0.90.
- 4
Estimate variance or baseline proportion
For continuous variables, estimate SD. For binary, baseline proportion in the control group.
- 5
Apply the appropriate formula
Mean difference, proportion difference, log-rank for survival — each has its formula. Use G*Power or R (pwr package).
- 6
Add attrition margin
Increase final sample size by 10-20% for dropouts and incomplete data.
- 7
Document the calculation in the protocol
IRB requires formula, assumptions, sources, and software used.
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