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Optimal dynamic treatment methods

Lookup NU author(s): Professor Robin Henderson, Dr Phil Ansell, Deyadeen Alshibani


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This paper reviews and develops methods for implementing in practice recent ideas in the field of optimal dynamic treatment allocation. Given longitudinal sequences of observational data on health status and treatment selection for a cohort of patients, the aim is to determine a regime, or decision rule, which can be used to select treatment in order to optimise some final response or outcome. The approach to this problem that has been taken in the causal inference literature is shown to be extendable to problems in the field of stochastic optimisation. New diagnostic techniques to aid in model assessment are developed, and an application in anticoagulation is presented.

Publication metadata

Author(s): Ansell P; Henderson R; Alshibani D

Publication type: Article

Publication status: Published

Journal: Revstat Statistical Journal

Year: 2011

Volume: 9

Issue: 1

Pages: 19-36

Print publication date: 01/03/2011

ISSN (print): 1645-6726

ISSN (electronic):

Publisher: Instituto Nacional de Estatistica