Sample Size Calculations for Comparing Groups with Binary Outcomes

Sample size is a critical parameter for clinical studies. However, to many biomedical and psychosocial investigators, power and sample size analysis seems like a magic trick of statisticians. In this paper, we continue to discuss power and sample size calculations by focusing on binary outcomes. We again emphasize the importance of close interactions between investigators and biostatisticians in setting up hypotheses and carrying out power analyses.