A sample size justification is often a key component in securing fundi
ng to conduct a clinical trial. Sample size computations typically req
uire supplying values of parameters that are unknown and subject to mi
sspecification. As an alternative, we advocate a power analysis approa
ch based on a range of reasonable values for such parameters. We illus
trate this approach in the context of a secondary stroke prevention tr
ial.