Interim analysis for normally distributed observables
Seymour Geisser, Wesley O. Johnson · Lecture notes-monograph series · 1994
We address the problem of whether an experiment should be continued or aborted when N observations are in hand and a total of K > N have been scheduled for a decision.A Bayesian predictive approach is used to determine the probability that if one continued the trial with a further sample of size M where N + M > if one would come to a particular decision regarding some set of parameters.In particular, sampling from a multivariate normal distribution will be discussed.