A Robust Method For Estimating Optimal Treatment Regimes

A Robust Method For Estimating Optimal Treatment Regimes. A doubly robust augmented inverse probability weighted estimator is used for finding the optimal regime within a class of regimes by finding the regime that optimizes an estimator of overall population mean outcome. View citations in econpapers (45) track citations by rss feed downloads:

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Read reader reaction to “a robust method for estimating optimal treatment regimes” by zhang et al. A dynamic treatment regime is a list of sequential decision rules for assigning treatment based on a patient's history. A treatment regime is a rule that assigns a treatment, among a set of possible treatments, to a patient as a function of his/her observed characteristics,.

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The goal is to identify the optimal treatment regime that, if followed by the entire population of patients, would lead to the best outcome on. Recognizing that, even if misspecified, such a regression model defines a class of regimes, we instead consider finding the optimal regime within such a class by finding the regime that optimizes an estimator of overall population mean.

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Simulations and application to data from a breast cancer clinical trial demonstrate the performance of the method. The empirical and asymptotic properties of the proposed method are investigated.

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Our aim is to use the. Robust statistical method for estimating optimal dynamic treatment regimes.

A Robust Method For Estimating Optimal Treatment Regimes Author:

Reader reaction to a robust method for estimating optimal treatment regimes by zhang et al. A dynamic treatment regime is a list of sequential decision rules for assigning treatment based on a patient’s history. Robust statistical method for estimating optimal dynamic treatment regimes.

In This Paper, We Propose A Doubly Robust Approach To Estimate Optimal Treatment Regimes That Optimize A User Specified Function Of The Survival Curve, Including The Restricted Mean Survival Time And The Median Survival Time.

Biometrics 2012 v.68 no.4 pp. A robust method for estimating optimal treatment regimes. A treatment regime is a rule that assigns a treatment, among a set of possible treatments, to a patient as a function of his/her observed characteristics,.

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The goal is to identify the optimal treatment regime that, if followed by the entire population of patients, would lead to the best outcome on average. However, treatment assignment via such a regime is suspect if the regression model is incorrectly specified. After k visits an outcome y is measured.

Robust Statistical Method For Estimating Optimal Dynamic Treatment Regimes.

Bly robust augmented inverse probability weighted estimator for the population mean outcome over all regimes in the class, assuming that larger outcomes are preferred. At visit j, measurements are taken which define the current state s j of the patient and a treatment decision a j is made. View references in econpapers view complete reference list from citec citations:

Given Data From A Clinical Trial Or Observational Study, For A Single Treatment Decision, The Optimal Regime Can Be Found By.

A robust method for estimating optimal treatment regimes. A treatment regime is a rule that assigns a treatment, among a set of possible treatments, to a patient as a function of his/her observed characteristics, hence personalizing treatment to the patient. Read reader reaction to “a robust method for estimating optimal treatment regimes” by zhang et al.