Robust and adaptive anticoagulant control

Avery, Peter and Clairon, Quentin and Henderson, Robin and Taylor, C. James and Wilson, Emma (2020) Robust and adaptive anticoagulant control. Journal of the Royal Statistical Society: Series C (Applied Statistics), 69 (3). pp. 503-524. ISSN 0035-9254

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We consider a control theory approach to adaptive dose allocation of anticoagulants, based on an analysis of records of 152 patients on long-term warfarin treatment. We consider a selection of statistical models for the relationship between the dose of drug and subsequent blood clotting speed, measured through the international normalized ratio. Our main focus is on subsequent use of the model in guiding the choice of the next dose adaptively as patient-specific information accrues. We compare a naive long-term approach with a proportional-integral-plus method, with parameters estimated by either linear quadratic optimization or by stochastic resource allocation. We demonstrate advantages of the control approaches in comparison with a naive approach in simulations and through calculation of robust stability margins for the observed data.

Item Type:
Journal Article
Journal or Publication Title:
Journal of the Royal Statistical Society: Series C (Applied Statistics)
Additional Information:
This is the peer reviewed version of the following article:Avery, P., Clairon, Q., Henderson, R., James Taylor, C. and Wilson, E. (2020), Robust and adaptive anticoagulant control. J. R. Stat. Soc. C. doi:10.1111/rssc.12403 which has been published in final form at This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.
Uncontrolled Keywords:
?? diccontroller designrobustnessstabilitywarfarinstatistics and probabilitystatistics, probability and uncertainty ??
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16 Jan 2020 16:45
Last Modified:
17 Dec 2023 01:46