Estimating a treatment effect with repeated measurements accounting for varying effectiveness duration

Y. Q. Chen, J. Yang, S. Cheng, J. B. Jackson

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)387-402
Number of pages16
Issue number2
StatePublished - Jun 2007
Externally publishedYes

Bibliographical note

Funding Information:
ACKNOWLEDGEMENT We sincerely thank the editor, an associate editor, two referees and Ms. Emily Hemminger for their careful reading and invaluable comments. This research was supported in part by a federal grant from the U.S. National Institute of Allergy and Infectious Disease.


  • Effect erosion
  • HIV/AIDS clinical trial
  • Longitudinal study
  • Mean response model
  • Time-varying coefficient


Dive into the research topics of 'Estimating a treatment effect with repeated measurements accounting for varying effectiveness duration'. Together they form a unique fingerprint.

Cite this