Estimating a treatment effect with repeated measurements accounting for varying effectiveness duration
To assess treatment efficacy in clinical trials, certain clinical outcomes are repeatedly measured over time for the same subject. The difference in their means may characterize a treatment effect. Since treatment effectiveness lag and saturation times may exist, erosion of treatment effect often occurs during the observation period. Instead of using models based on ad hoc parametric or purely nonparametric time-varying coefficients, we model the treatment effectiveness durations, which are the time intervals between the lag and saturation times. Then we use some mean response models to include such treatment effectiveness durations. Our methodology is demonstrated by simulations and analysis of a landmark <sc>HIV</sc>/<sc>AIDS</sc> clinical trial of short-course nevirapine against mother-to-child <sc>HIV</sc> vertical transmission during labour and delivery. Copyright 2007, Oxford University Press.
Year of publication: |
2007
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Authors: | Chen, Y. Q. ; Yang, J. ; Cheng, S. ; Jackson, J. B. |
Published in: |
Biometrika. - Biometrika Trust, ISSN 0006-3444. - Vol. 94.2007, 2, p. 387-402
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Publisher: |
Biometrika Trust |
Saved in:
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