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Evaluation of sample size and power for multi-arm survival trials allowing for non-uniform accrual, non-proportional hazards, loss to follow-up and cross-over

Barthel, FMS; Babiker, A; Royston, P; Parmar, MKB; (2006) Evaluation of sample size and power for multi-arm survival trials allowing for non-uniform accrual, non-proportional hazards, loss to follow-up and cross-over. STAT MED , 25 (15) 2521 - 2542. 10.1002/sim.2517.

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Abstract

1We present a general framework for sample size calculation in survival studies based on comparing two or more survival distributions using any one of a class of tests including the logrank test. Incorporated within this framework are the possible presence of non-uniforin staggered patient entry, non-proportional hazards, loss to follow-up and treatment changes including cross-over between treatment arms. The framework is very general in nature and is based on using piecewise exponential distributions to model the survival distributions. We illustrate the use of the approach and explore its validity using simulation studies. These studies have shown that not adjusting for loss to follow-up, non-proportional hazards or cross-over can lead to significant alterations in power or equivalently, a marked effect on sample size. The approach has been implemented in the freely available program ART (for Stata). Our investigations suggest that ART is the first software to allow incorporation of all these elements. Further extensions to the methodology such as non-local alternatives for the logrank test are also considered. Copyright (c) 2006 John Wiley & Sons, Ltd.

Type:Article
Title:Evaluation of sample size and power for multi-arm survival trials allowing for non-uniform accrual, non-proportional hazards, loss to follow-up and cross-over
DOI:10.1002/sim.2517
Keywords:sample size, survival analysis, clinical trials, power, COMPLEX CLINICAL-TRIALS, PATIENT ENTRY, END-POINTS, DISTRIBUTIONS, TESTS, NONCOMPLIANCE, MODELS
UCL classification:UCL > School of Life and Medical Sciences > Faculty of Population Health Sciences > MRC Clinical Trials Unit at UCL

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