The Bayesian t-test and beyond Journal Article
| Author: | Gonen, M. |
| Article Title: | The Bayesian t-test and beyond |
| Abstract: | In this chapter we will explore Bayesian alternatives to the t-test. We saw in Chapter 1 how t-test can be used to test whether the expected outcomes of the two groups are equal or not. In Chapter 3 we saw how to make inferences from a Bayesian perspective in principle. In this chapter we will put these together to develop a Bayesian procedure for a t-test. This procedure depends on the data only through the t-statistic. It requires prior inputs and we will discuss how to assign them. We will use an example from a microarray study as to demonstrate the practical issues. The microarray study is an important application for the Bayesian t-test as it naturally brings up the question of simultaneous t-tests. It turns out that the Bayesian procedure can easily be extended to carry several t-tests on the same data set, provided some attention is paid to the concept of the correlation between tests. |
| Keywords: | genetics; review; gastrointestinal stromal tumor; gastrointestinal stromal tumors; bayes theorem; oligonucleotide array sequence analysis; dna microarray |
| Journal Title: | Methods in Molecular Biology |
| Volume: | 620 |
| ISSN: | 1064-3745 |
| Publisher: | Humana Press Inc |
| Date Published: | 2010-01-01 |
| Start Page: | 179 |
| End Page: | 199 |
| Language: | English |
| DOI: | 10.1007/978-1-60761-580-4_4 |
| PUBMED: | 20652504 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Chapter 4 in "Statistical Methods in Molecular Biology" (ISBN: 978-1-60761-578-1) --- Export Date: 20 April 2011 - Source: Scopus |
