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- The Bayesian two-sample t-test
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- Abstract:
- In this article we show how the pooled-variance
two-sample t-statistic arises from a Bayesian formulation of the two-sided
point null testing problem, with emphasis on teaching. We identify a
reasonable and useful prior giving a closed-form Bayes factor that can be
written in terms of the distribution of the two-sample t-statistic under the
null and alternative hypotheses respectively. This provides a Bayesian
motivation for the two-sample t-statistic, which has heretofore been buried
as a special case of more complex linear models, or given only roughly via
analytic or Monte Carlo approximations. The resulting formulation of the
Bayesian test is easy to apply in practice, and also easy to teach in an
introductory course that emphasizes Bayesian methods. The priors are easy to
use and simple to elicit, and the posterior probabilities are easily computed
using available software, in some cases using spreadsheets.
- Subject Area:
- Statistical Theory and Methods
- Suggested Citation:
- Mithat Gonen, Wesley O. Johnson, Yonggang Lu, and Peter H. Westfall,
"The Bayesian two-sample t-test"
(April 2005).
Memorial Sloan-Kettering Cancer Center Department of Epidemiology and Biostatistics Working Paper Series.
Working Paper 1.
http://www.bepress.com/mskccbiostat/paper1