The number of subjects studied, including those in the intervention group and the control group, where applicable.
Note: In general, a large sample size decreases the probability of Type I (α) (false-positive) errors and increases the statistical power of the trial, i.e. decreases the probability of Type II (β) (false-negative) errors. A large sample size decreases the effect of random variation on the estimate of a treatment effect. In designing a study, the desired sample size can be calculated using a statistical formula based on the acceptable levels of α and β errors, the smallest difference between intervention groups considered clinically relevant, and the measurement variance.