Please use this identifier to cite or link to this item: https://erepository.fmesinstitute.org/handle/123456789/1720
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGoodman, S. N.-
dc.date.accessioned2019-11-29T16:36:01Z-
dc.date.available2019-11-29T16:36:01Z-
dc.date.issued2007-
dc.identifier.citationGoodman, S. N. (2007). Stopping at nothing? Some dilemmas of data monitoring in clinical trials. Annals of Internal Medicine, 146(12), 882–887.en_US
dc.identifier.urihttps://doi.org/10.7326/0003-4819-146-12-200706190-00010-
dc.identifier.urihttps://erepository.fmesinstitute.org/handle/123456789/1720-
dc.description.abstractThis commentary reviews the argument that clinical trials with data monitoring committees that use statistical stopping guidelines should generally not be stopped early for large observed efficacy differences because efficacy estimates may be exaggerated and there is minimal information on treatment harms. Overall, the average of estimates from trials that use these boundaries differs minimally from the true value. Estimates from a given trial that seem implausibly high can be moderated by using Bayesian methods. Data monitoring committees are not ethically required to precisely estimate a large efficacy difference if that difference differs convincingly from zero, and the requirement to detect harms and balance efficacy against harm depends on whether the nature of the harm is known or unknown before the trial. © 2007 American College of Physicians.en_US
dc.language.isoenen_US
dc.publisherAnnals of Internal Medicineen_US
dc.titleStopping at nothing? Some dilemmas of data monitoring in clinical trials.en_US
dc.typeJournal Articleen_US
fmes.numPages882–887en_US
Appears in Collections:Ethics

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.