DONG, Larry; MOODIE, Erica E. M.; VILLAIN, Laura; THIEBAUT, Rodolphe

doi:10.1214/22-aoas1726

Statistics In System biology and Translational Medicine [SISTM]
Bordeaux population health [BPH]

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Annals of Applied Statistics. 2023-09, vol. 17, n° 3, p. 2432-2451

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A dynamic treatment regimes (DTR) represents a statistical paradigm in precision medicine which aims to optimize patient outcomes by individualizing treatments. At its simplest, a DTR may require only a single decision to be made; this special case is called an individualized treatment rule (ITR) and is often used to maximize short-term rewards. Generalized dynamic weighted ordinary least squares (G-dWOLS), a DTR estimation method that offers theoretical advantages such as double robustness of parameter estimators in the decision rules, has been recently extended to accommodate categorical treatments. In this work G-dWOLS is applied to longitudinal data to estimate an optimal ITR. This novel method is demonstrated in simulations and is then applied to a population affected by HIV, whereby an ITR for the administration of Interleukin 7 (IL-7) is devised to maximize the duration where the CD4 load is above a healthy threshold (500 cells/mu L) while preventing the administration of unnecessary injections.< Réduire

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https://oskar-bordeaux.fr/handle/20.500.12278/186626

DOI

http://dx.doi.org/10.1214/22-aoas1726

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Bordeaux Population Health Research Center (BPH) - UMR 1219

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Evaluating the Use of Generalized Dynamic Weighted Ordinary Least Squares for Individualized Hiv Treatment Strategies

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