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Article Dans Une Revue Annals of Applied Statistics Année : 2023

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

Résumé

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.
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Dates et versions

hal-04344321 , version 1 (14-12-2023)

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Citer

Larry Dong, Erica E. M. Moodie, Laura Villain, Rodolphe Thiébaut. Evaluating the Use of Generalized Dynamic Weighted Ordinary Least Squares for Individualized Hiv Treatment Strategies. Annals of Applied Statistics, 2023, 17 (3), pp.2432-2451. ⟨10.1214/22-aoas1726⟩. ⟨hal-04344321⟩

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