The use of a bayesian method for estimating the shelf-life of pharmace
utical formulations is evaluated and compared with classical linear re
gression. Using three real data sets, the greater flexibility provided
by the bayesian approach is demonstrated. In particular, the bayesian
approach enabled the consideration of cases when the error distributi
on is non-normal. However much more computation is required with the b
ayesian method.