Model
checking particularly makes little sense in a regulatory
setting
•Commonly used null
hypotheses presume the model fits in the absence of a
treatment effect
–Frequentists would be
testing for a treatment effect as they do model checking
•Bayesians should model
any uncertainty in the distribution
–Interestingly, if one
does this, the estimate indicating parametric family will in
general vary with the estimate of treatment effect