Puerto Rico
| Presentation
The case for a fully robust hierarchical Bayesian statistical analysis of clinical trials
| dc.creator | Pericchi Guerra, Luis R. | |
| dc.creator | Pérez, María Eglée | |
| dc.date | 2012-11-21T04:15:00Z | |
| dc.date | 2012-11-21T04:15:00Z | |
| dc.date | 2009-06 | |
| dc.date.accessioned | 2017-03-17T16:53:57Z | |
| dc.date.available | 2017-03-17T16:53:57Z | |
| dc.identifier | http://hdl.handle.net/10586 /311 | |
| dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/647452 | |
| dc.description | Two clinical trials (past and present), conjugate priors are compared with (Robust) Cauchy- Student-t and what we call Berger's prior. The behavior of the latter Robust Bayesian methods is qualitatively di erent from Conjugate Bayesian Methods and arguably much more reasonable and acceptable to the practitioner and regulatory agencies. | |
| dc.language | en | |
| dc.publisher | International Workshop on Objective Bayes Methodology (OBayes 09), | |
| dc.subject | clinical trials | |
| dc.subject | robust bayesian methods | |
| dc.subject | conjugate bayesian methods | |
| dc.subject | statistical analysis | |
| dc.title | The case for a fully robust hierarchical Bayesian statistical analysis of clinical trials | |
| dc.type | Presentation |