Literature DB >> 8896140

Survival analyses of randomized clinical trials adjusted for patients who switch treatments.

M G Law1, J M Kaldor.   

Abstract

Patients who switch treatment groups in randomized clinical trials can cause problems in the interpretation of the results. Although the intention-to-treat method is recognized as being the most reliable analysis, it may result in an underestimate of the treatment effect if there have been patients who switch treatments. In this paper, an adjusted analysis, based on a Cox model, is proposed which estimates the treatment effect allowing for patients who switch treatments. Because this analysis requires much weaker assumptions than 'as treated' analyses, it is likely to be much more reliable. The method is illustrated by a trial comparing radical radiotherapy with radiotherapy followed by cystectomy in the treatment of invasive bladder cancer.

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Year:  1996        PMID: 8896140     DOI: 10.1002/(SICI)1097-0258(19961015)15:19<2069::AID-SIM347>3.0.CO;2-V

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  5 in total

1.  Estimating treatment effects with treatment switching via semicompeting risks models: an application to a colorectal cancer study.

Authors:  Donglin Zeng; Qingxia Chen; Ming-Hui Chen; Joseph G Ibrahim
Journal:  Biometrika       Date:  2011-12-29       Impact factor: 2.445

2.  Methods for adjusting for bias due to crossover in oncology trials.

Authors:  K Jack Ishak; Irina Proskorovsky; Beata Korytowsky; Rickard Sandin; Sandrine Faivre; Juan Valle
Journal:  Pharmacoeconomics       Date:  2014-06       Impact factor: 4.981

3.  The interpretation of clinical trials of immediate versus delayed therapy.

Authors:  M Mittlböck; J Whitehead
Journal:  Lifetime Data Anal       Date:  1998       Impact factor: 1.588

4.  Assessing methods for dealing with treatment switching in randomised controlled trials: a simulation study.

Authors:  James P Morden; Paul C Lambert; Nicholas Latimer; Keith R Abrams; Allan J Wailoo
Journal:  BMC Med Res Methodol       Date:  2011-01-11       Impact factor: 4.615

5.  Treatment crossovers in time-to-event non-inferiority randomised trials of radiotherapy in patients with breast cancer.

Authors:  Sameer Parpia; Jim A Julian; Lehana Thabane; Chushu Gu; Timothy J Whelan; Mark N Levine
Journal:  BMJ Open       Date:  2014-10-24       Impact factor: 2.692

  5 in total

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