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Activity Number:
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430
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Type:
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Contributed
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Date/Time:
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Tuesday, August 2, 2016 : 2:00 PM to 3:50 PM
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Sponsor:
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Biometrics Section
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Abstract #319536
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View Presentation
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Title:
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Detecting Treatment Differences in Group Sequential Longitudinal Studies with Covariate Adjustment
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Author(s):
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Neal Jeffries* and James Troendle and Nancy L. Geller
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Companies:
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National Heart, Lung, and Blood Institute and National Institutes of Health and National Heart, Lung, and Blood Institute
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Keywords:
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Longitudinal analysis ;
Group sequential design ;
Clinical trial design ;
Generalized estimation equations
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Abstract:
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In longitudinal studies comparing two treatments over a series of common follow-up measurements there may be interest in determining if there is a treatment difference at any follow-up period when there may be a non-monotone treatment effect over time. To evaluate this question Jeffries and Geller (2015) examined a number of clinical trial designs that allowed adaptive choice of the follow-up time exhibiting the greatest evidence of treatment difference in a group sequential testing setting with Gaussian data. The methods were applicable when a few measurements were taken at prespecified follow-up periods, such as in in ancillary studies. Here we test the composite null hypothesis of no difference at any follow-up time versus the alternative that there is a difference for at least one follow-up time. Results of Jeffries and Geller (2015) are extended by considering a broader range of modeled data and the inclusion of covariates using generalized estimating equations. Closed testing procedures are developed to determine a set of follow-up times that exhibit a treatment difference.
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Authors who are presenting talks have a * after their name.
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