Bayesian multiple testing for two-sample multivariate endpoints Journal Article
| Authors: | Gonen, M.; Westfall, P. H.; Johnson, W. O. |
| Article Title: | Bayesian multiple testing for two-sample multivariate endpoints |
| Abstract: | In clinical studies involving multiple variables, simultaneous tests are often considered where both the outcomes and hypotheses are correlated. This article proposes a multivariate mixture prior on treatment effects, that allows positive probability of zero effect for each hypothesis, correlations among effect sizes, correlations among binary outcomes of zero versus nonzero effect, and correlations among the observed test statistics (conditional on the effects). We develop a Bayesian multiple testing procedure, for the multivariate two-sample situation with unknown covariance structure, and obtain the posterior probabilities of no difference between treatment regimens for specific variables. Prior selection methods and robustness issues are discussed in the context of a clinical example. |
| Keywords: | treatment outcome; retrospective studies; major clinical study; biological markers; bayes theorem; outcome assessment (health care); prothrombin time; length of stay; statistical analysis; data interpretation, statistical; probability; operation duration; liver resection; outcomes research; liver diseases; multivariate analysis; liver function test; statistical model; bilirubin blood level; biostatistics; clinical trials; biometry; efficacy; bayesian analysis; multiple comparisons; posterior probability; humans; human; article; bayesian t-test; model selection |
| Journal Title: | Biometrics |
| Volume: | 59 |
| Issue: | 1 |
| ISSN: | 0006-341X |
| Publisher: | Wiley Blackwell |
| Date Published: | 2003-03-01 |
| Start Page: | 76 |
| End Page: | 82 |
| Language: | English |
| DOI: | 10.1111/1541-0420.00009 |
| PUBMED: | 12762443 |
| PROVIDER: | scopus |
| DOI/URL: | |
| Notes: | Export Date: 12 September 2014 -- Source: Scopus |
