February, 2003
© 2000, 2001, 2003 Scott S. Emerson, M.D., Ph.D.
Hierarchy of Statistical Goals: 15
Bayesian Inference
The probability that the hypothesis is true is then like the predictive value of a positive test result
In order to use Bayes rule, we must have some measure of the “prevalence” of a beneficial treatment
Such a measure is termed the “prior distribution”, because it is our estimate of the probability of a beneficial treatment prior to observing any data
The probability of the hypotheses based on the data is then called the posterior distribution