Highlights
- Potential misclassification of a binary outcome must be considered in
study design
- Power of binomial test is non-monotonic: larger samples may lead to
smaller power
- Misclassification rates of 1-2% may imply 3-4-fold increase in sample
size
- Increase of sample size is greatest if probability of outcome is near
0 or 1