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Activity Number: 518
Type: Contributed
Date/Time: Wednesday, August 5, 2009 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #304530
Title: Causal Inference in Cancer Clinical Trials
Author(s): Babette Brumback*+ and Wendy London
Companies: University of Florida and University of Florida
Address: College of Public Health and Health Professions, Gainesville, FL, 32610,
Keywords: optimal dynamic treatment regime ; sequential treatment ; causal inference ; clinical trial ; surrogate outcome ; sensitivity analysis
Abstract:

It often happens in cancer clinical trials that a surrogate outcome rather than overall survival is used to compare two randomized treatments, for the practical purpose of shortening the duration of the trial and to avoid contamination, by subsequent nonrandomized treatment, of the treatment effect under study in the RCT. However, overall survival is nevertheless often of primary interest. An ensuing difficulty is that subsequent to the assessment of the surrogate outcome, patients enroll in a non-prescribed fashion into further trials or may be given additional treatment as part of routine practice. Thus it becomes exceedingly hard to disentangle the effect of the randomized treatment from that of the subsequent, nonrandomized treatments. We describe and apply a method of estimating optimal dynamic treatment regimes in attempt to solve this problem in an analysis of COG study P9462.


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