|Title||Bayesian methods in clinical trials: a Bayesian analysis of ECOG trials E1684 and E1690.|
|Publication Type||Journal Article|
|Year of Publication||2012|
|Authors||Ibrahim, Joseph G., Ming-Hui Chen, and Haitao Chu|
|Journal||BMC Med Res Methodol|
|Date Published||2012 Nov 29|
|Keywords||Bayes Theorem, Clinical Trials as Topic, Disease-Free Survival, Humans, Interferon-alpha, Melanoma, Multivariate Analysis, Neoplasm Recurrence, Local, Proportional Hazards Models, Reproducibility of Results, Skin Neoplasms, Statistical Distributions, Survival Analysis, Treatment Outcome|
BACKGROUND: E1684 was the pivotal adjuvant melanoma trial for establishment of high-dose interferon (IFN) as effective therapy of high-risk melanoma patients. E1690 was an intriguing effort to corroborate E1684, and the differences between the outcomes of these trials have embroiled the field in controversy over the past several years. The analyses of E1684 and E1690 were carried out separately when the results were published, and there were no further analyses trying to perform a single analysis of the combined trials.METHOD: In this paper, we consider such a joint analysis by carrying out a Bayesian analysis of these two trials, thus providing us with a consistent and coherent methodology for combining the results from these two trials.RESULTS: The Bayesian analysis using power priors provided a more coherent flexible and potentially more accurate analysis than a separate analysis of these data or a frequentist analysis of these data. The methodology provides a consistent framework for carrying out a single unified analysis by combining data from two or more studies.CONCLUSIONS: Such Bayesian analyses can be crucial in situations where the results from two theoretically identical trials yield somewhat conflicting or inconsistent results.
|Alternate Journal||BMC Med Res Methodol|
|Original Publication||Bayesian methods in clinical trials: A Bayesian analysis of ECOG trials E1684 and E1690.|
|PubMed Central ID||PMC3571975|
|Grant List||P01 CA142538 / CA / NCI NIH HHS / United States |
CA 74015 / CA / NCI NIH HHS / United States
GM 70335 / GM / NIGMS NIH HHS / United States
Bayesian methods in clinical trials: a Bayesian analysis of ECOG trials E1684 and E1690.