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Bayesian
communication
is the application of the Bayesian paradigm to the process of an
author/investigator publishing data to readers who evaluate the
data in the context of their prior belief and knowledge and who
take action on the basis of that evaluation. (See article by
Lehmann and Goodman. Diamond
and Kaul discuss this as well.)
Read about the philosophy of
this idea and of this project. Statistical
Models gives
details about one Bayesian statistical model (the Bayesian equivalent
of the z test
for proportions.).
This site presents
three tools.
- From Tutorial, you
can login and use a site that takes you through the whole process.
- From Datasets, you
can see a java-based applet applied to any one of 20 papers.
- From Calculator, you can use
a java-based applet with data you provide.
Basic terminology
is presented in the Glossary.
Please send email
to Harold Lehmann.
Read his CV.
This work has been
funded by NLM grant R29LM05647 and
R01LM006849 (current).
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