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Parametric randomization-based methods for correcting for treatment changes in the assessment of the causal effect of treatment.

Abstract:

We develop parametric maximum likelihood methods to adjust for treatment changes during follow-up in order to assess the causal effect of treatment in clinical trials with time-to-event outcomes. The accelerated failure time model of Robins and Tsiatis relates each observed event time to the underlying event time that would have been observed if the control treatment had been given throughout the trial. We introduce a bivariate parametric frailty model for time to treatment change and time to...

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Publication status:
Published

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Publisher copy:
10.1002/sim.1618

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Institution:
University of Oxford
Department:
Oxford, MSD, Clinical Medicine, Experimental Medicine Division,
Babiker, AG More by this author
Journal:
Statistics in medicine
Volume:
23
Issue:
4
Pages:
571-590
Publication date:
2004-02-05
DOI:
EISSN:
1097-0258
ISSN:
0277-6715
URN:
uuid:77210d76-89a8-4320-8c43-3c6dde405522
Source identifiers:
422660
Local pid:
pubs:422660

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