Enrolling insufficient numbers of subjects to power a clinical study
is often cited as a major reason for failure to achieve statistically
significant endpoint or high probability or relevance for data. Simply
using greater numbers of subjects to overcome inherent weaknesses
in study design may be subject to criticism for ignoring potentially
confounding factors common to such models. Adrian Wildfire
at SGS Infectious Diseases explains some of these factors in