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Evaluating the Use of Generalized Dynamic Weighted Ordinary Least Squares for Individualized Hiv Treatment Strategies
| dc.rights.license | open | en_US |
| dc.contributor.author | DONG, Larry | |
| dc.contributor.author | MOODIE, Erica E. M. | |
| hal.structure.identifier | Statistics In System biology and Translational Medicine [SISTM] | |
| hal.structure.identifier | Bordeaux population health [BPH] | |
| dc.contributor.author | VILLAIN, Laura | |
| hal.structure.identifier | Statistics In System biology and Translational Medicine [SISTM] | |
| hal.structure.identifier | Bordeaux population health [BPH] | |
| dc.contributor.author | THIEBAUT, Rodolphe | |
| dc.date.accessioned | 2023-12-14T10:10:31Z | |
| dc.date.available | 2023-12-14T10:10:31Z | |
| dc.date.issued | 2023-09 | |
| dc.identifier.issn | 1932-6157 | en_US |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/186626 | |
| dc.description.abstractEn | 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. | |
| dc.language.iso | EN | en_US |
| dc.title.en | Evaluating the Use of Generalized Dynamic Weighted Ordinary Least Squares for Individualized Hiv Treatment Strategies | |
| dc.title.alternative | Ann Appl Stat | en_US |
| dc.type | Article de revue | en_US |
| dc.identifier.doi | 10.1214/22-aoas1726 | en_US |
| dc.subject.hal | Sciences du Vivant [q-bio]/Santé publique et épidémiologie | en_US |
| bordeaux.journal | Annals of Applied Statistics | en_US |
| bordeaux.page | 2432-2451 | en_US |
| bordeaux.volume | 17 | en_US |
| bordeaux.hal.laboratories | Bordeaux Population Health Research Center (BPH) - UMR 1219 | en_US |
| bordeaux.issue | 3 | en_US |
| bordeaux.institution | Université de Bordeaux | en_US |
| bordeaux.institution | INSERM | en_US |
| bordeaux.institution | INRIA | en_US |
| bordeaux.team | SISTM_BPH | en_US |
| bordeaux.peerReviewed | oui | en_US |
| bordeaux.inpress | non | en_US |
| hal.identifier | hal-04344321 | |
| hal.version | 1 | |
| hal.date.transferred | 2023-12-14T10:10:34Z | |
| hal.popular | non | en_US |
| hal.audience | Internationale | en_US |
| hal.export | true | |
| dc.rights.cc | Pas de Licence CC | en_US |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Annals%20of%20Applied%20Statistics&rft.date=2023-09&rft.volume=17&rft.issue=3&rft.spage=2432-2451&rft.epage=2432-2451&rft.eissn=1932-6157&rft.issn=1932-6157&rft.au=DONG,%20Larry&MOODIE,%20Erica%20E.%20M.&VILLAIN,%20Laura&THIEBAUT,%20Rodolphe&rft.genre=article |
