Copy to clipboardCopy Xu, J; Lam, KF; Chen, F; Milligan, P; Cheung, YB; (2017) Semiparametric estimation of time-varying intervention effects using recurrent event data. Statistics in medicine. ISSN 0277-6715 DOI: https://doi.org/10.1002/sim.7319
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We consider the estimation of the optimal interval between doses for interventions such as malaria chemoprevention and vaccine booster doses that are applied intermittently in infectious disease control. A flexible exponential-like function to model the time-varying intervention effect in the framework of Andersen-Gill model for recurrent event time data is considered. The partial likelihood estimation approach is adopted, and a large scale simulation study is carried out to evaluate the performance of the proposed method. A simple guideline for the choice of the optimal interval between successive doses is proposed. The methodology is illustrated with the analysis of data from a malaria chemoprevention trial. Copyright © 2017 John Wiley & Sons, Ltd.
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