February, 2003
© 2000, 2001, 2003 Scott S. Emerson, M.D., Ph.D.
The actual
implementation of Bayesian inference is a generalization of the
diagnostic testing situation
The
estimate of treatment effect is continuous, rather than just positive or
negative
The
parameter measuring a beneficial treatment is continuous, rather than
just healthy or diseased
The
quantification of the prior distribution is thus an entire
distribution (a probability for every possible value of the treatment
effect) rather than a single prevalence.