Web-based Bayesian Communication: the Bayesian z-test.
Bayesian Communication provides an explicit and quantitative way to combine a reader's preconceived notions with data from a study to help in making decisions, and thus implements the decision-analytic paradigm in the setting of interpreting and adapting research results. Article Assistant employs a three-tier architecture. The interface elicits users' prior belief and values; the article library provides data from the study, the system calculates the posterior belief distribution and sensitivity analysis on the fly, and provides an interpretation of the numerical results.
Lehmann
Harold P
HP
Division of Health Sciences Informatics, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.
Barshay
Alexander
A
Grimm
L  Allan
L
Robinson
Karen A
KA
Sheffield
Cynthia
C
D001499:Bayes Theorem; D002986:Clinical Trials as Topic; D003142:Communication; D003627:Data Interpretation, Statistical; D003661:Decision Support Techniques; D007257:Information Theory; D020407:Internet; D015233:Models, Statistical