Journal article
Estimating a treatment effect with repeated measurements accounting for varying effectiveness duration
Biometrika, Vol.94(2), pp.387-402
06/2007
DOI: 10.1093/biomet/asm019
Abstract
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 HIV/AIDS clinical trial of short-course nevirapine against mother-to-child HIV vertical transmission during labour and delivery.
Details
- Title: Subtitle
- Estimating a treatment effect with repeated measurements accounting for varying effectiveness duration
- Creators
- Y. Q Chen - Program in Biostatistics, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, U.S.AJ Yang - University of California, BerkeleyS Cheng - University of California, San FranciscoJ. B Jackson - Johns Hopkins University
- Resource Type
- Journal article
- Publication Details
- Biometrika, Vol.94(2), pp.387-402
- DOI
- 10.1093/biomet/asm019
- ISSN
- 0006-3444
- eISSN
- 1464-3510
- Publisher
- Oxford University Press
- Language
- English
- Date published
- 06/2007
- Academic Unit
- Pathology; VPMA - Administration
- Record Identifier
- 9984047641302771
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