Determining the appropriate sample size is a critical aspect of trial design. It involves balancing the need for statistical power with practical considerations such as cost and patient availability. The sample size calculation typically considers:
The expected effect size of the treatment The desired level of statistical significance (usually 0.05) The power of the study, which is the probability of detecting an effect if one exists (typically set at 80-90%) Variability in the outcome measure
