A Bayesian analysis of regression models with continuous errors with application to longitudinal studies by L. D. Broemeling and P. Cook, Statistics in Medicine, 16, 321–332 (1997)

✍ Scribed by J. A. Nelder

• Publisher: John Wiley and Sons
• Year: 1998
• Tongue: English
• Weight: 83 KB
• Volume: 17
• Category: Article
• ISSN: 0277-6715
• DOI: 10.1002/(sici)1097-0258(19980130)17:2<241::aid-sim707>3.0.co;2-5

✦ Synopsis

their results. As we have discussed with the authors, we believe that there remains much useful work to be done to evaluate the estimator and to determine how and where it should be use (Schoenfeld, personal communication). We also think that, in the absence of censoring, situations where the new test has better power than the logrank statistic need clarification. Specifically, as the logrank test is locally the most powerful test against a general alternative, we suspect that the gain in power for the new test may be due to violation of the proportional hazard assumption for the logrank test. This is an interesting, but different, topic.