Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/8131
Title: Assessing methods for dealing with treatment switching in randomised controlled trials: a simulation study.
Authors: Morden, James P.
Lambert, Paul C.
Latimer, Nicholas
Abrams, Keith R.
Wailoo, Allan J.
First Published: 11-Jan-2011
Publisher: BioMed Central Ltd
Citation: BMC Medical Research Methodology, 2011, 11 : 4
Abstract: Background: We investigate methods used to analyse the results of clinical trials with survival outcomes in which some patients switch from their allocated treatment to another trial treatment. These included simple methods which are commonly used in medical literature and may be subject to selection bias if patients switching are not typical of the population as a whole. Methods which attempt to adjust the estimated treatment effect, either through adjustment to the hazard ratio or via accelerated failure time models, were also considered. A simulation study was conducted to assess the performance of each method in a number of different scenarios. Results: 16 different scenarios were identified which differed by the proportion of patients switching, underlying prognosis of switchers and the size of true treatment effect. 1000 datasets were simulated for each of these and all methods applied. Selection bias was observed in simple methods when the difference in survival between switchers and non-switchers were large. A number of methods, particularly the AFT method of Branson and Whitehead were found to give less biased estimates of the true treatment effect in these situations. Conclusions: Simple methods are often not appropriate to deal with treatment switching. Alternative approaches such as the Branson & Whitehead method to adjust for switching should be considered.
DOI Link: 10.1186/1471-2288-11-4
eISSN: 1471-2288
Links: http://hdl.handle.net/2381/8131
http://www.biomedcentral.com/1471-2288/11/4
Version: Publisher Version
Status: Peer reviewed
Type: Article
Rights: Copyright © 2011 the Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Appears in Collections:Published Articles, Dept. of Health Sciences

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