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    Rights statement: 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 https://rss.onlinelibrary.wiley.com/doi/10.1111/rssc.12403 This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.

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    Embargo ends: 15/03/21

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Robust and adaptive anticoagulant control

Research output: Contribution to journalJournal article

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Robust and adaptive anticoagulant control. / Avery, Peter; Clairon, Quentin; Henderson, Robin; Taylor, C. James; Wilson, Emma.

In: Journal of the Royal Statistical Society: Series C (Applied Statistics), Vol. 69, No. 3, 01.06.2020, p. 503-524.

Research output: Contribution to journalJournal article

Harvard

Avery, P, Clairon, Q, Henderson, R, Taylor, CJ & Wilson, E 2020, 'Robust and adaptive anticoagulant control', Journal of the Royal Statistical Society: Series C (Applied Statistics), vol. 69, no. 3, pp. 503-524. https://doi.org/10.1111/rssc.12403

APA

Avery, P., Clairon, Q., Henderson, R., Taylor, C. J., & Wilson, E. (2020). Robust and adaptive anticoagulant control. Journal of the Royal Statistical Society: Series C (Applied Statistics), 69(3), 503-524. https://doi.org/10.1111/rssc.12403

Vancouver

Avery P, Clairon Q, Henderson R, Taylor CJ, Wilson E. Robust and adaptive anticoagulant control. Journal of the Royal Statistical Society: Series C (Applied Statistics). 2020 Jun 1;69(3):503-524. https://doi.org/10.1111/rssc.12403

Author

Avery, Peter ; Clairon, Quentin ; Henderson, Robin ; Taylor, C. James ; Wilson, Emma. / Robust and adaptive anticoagulant control. In: Journal of the Royal Statistical Society: Series C (Applied Statistics). 2020 ; Vol. 69, No. 3. pp. 503-524.

Bibtex

@article{3a5e35191fee41f3985c56b4f211655e,
title = "Robust and adaptive anticoagulant control",
abstract = "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.",
keywords = "DIC, Controller Design, Robustness, Stability, Warfarin",
author = "Peter Avery and Quentin Clairon and Robin Henderson and Taylor, {C. James} and Emma Wilson",
note = "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 https://rss.onlinelibrary.wiley.com/doi/10.1111/rssc.12403 This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving. ",
year = "2020",
month = jun
day = "1",
doi = "10.1111/rssc.12403",
language = "English",
volume = "69",
pages = "503--524",
journal = "Journal of the Royal Statistical Society: Series C (Applied Statistics)",
issn = "0035-9254",
publisher = "Wiley-Blackwell",
number = "3",

}

RIS

TY - JOUR

T1 - Robust and adaptive anticoagulant control

AU - Avery, Peter

AU - Clairon, Quentin

AU - Henderson, Robin

AU - Taylor, C. James

AU - Wilson, Emma

N1 - 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 https://rss.onlinelibrary.wiley.com/doi/10.1111/rssc.12403 This article may be used for non-commercial purposes in accordance With Wiley Terms and Conditions for self-archiving.

PY - 2020/6/1

Y1 - 2020/6/1

N2 - 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.

AB - 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.

KW - DIC

KW - Controller Design

KW - Robustness

KW - Stability

KW - Warfarin

U2 - 10.1111/rssc.12403

DO - 10.1111/rssc.12403

M3 - Journal article

VL - 69

SP - 503

EP - 524

JO - Journal of the Royal Statistical Society: Series C (Applied Statistics)

JF - Journal of the Royal Statistical Society: Series C (Applied Statistics)

SN - 0035-9254

IS - 3

ER -