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Optimal Two–Stage Dynamic Treatment Regimes from a Classification Perspective with Censored Survival Data
by
Davidian, Marie
, Hager, Rebecca
, Tsiatis, Anastasios A.
in
Acute Disease
/ Algorithms
/ BIOMETRIC METHODOLOGY
/ biometry
/ Biometry - methods
/ Classification
/ clinical trials
/ Computer Simulation
/ Data processing
/ Decision Support Techniques
/ Doubly robust
/ Humans
/ Inverse probability weighting
/ Iterative algorithms
/ Leukemia
/ Mapping
/ Optimal treatment regime
/ Optimization
/ Outcome Assessment, Health Care - methods
/ Outcome Assessment, Health Care - standards
/ Patients
/ probability
/ Randomized Controlled Trials as Topic
/ Sequential multiple assignment randomized trial
/ Support Vector Machine
/ Support vector machines
/ Survival
/ Survival Analysis
/ Value search
2018
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Optimal Two–Stage Dynamic Treatment Regimes from a Classification Perspective with Censored Survival Data
by
Davidian, Marie
, Hager, Rebecca
, Tsiatis, Anastasios A.
in
Acute Disease
/ Algorithms
/ BIOMETRIC METHODOLOGY
/ biometry
/ Biometry - methods
/ Classification
/ clinical trials
/ Computer Simulation
/ Data processing
/ Decision Support Techniques
/ Doubly robust
/ Humans
/ Inverse probability weighting
/ Iterative algorithms
/ Leukemia
/ Mapping
/ Optimal treatment regime
/ Optimization
/ Outcome Assessment, Health Care - methods
/ Outcome Assessment, Health Care - standards
/ Patients
/ probability
/ Randomized Controlled Trials as Topic
/ Sequential multiple assignment randomized trial
/ Support Vector Machine
/ Support vector machines
/ Survival
/ Survival Analysis
/ Value search
2018
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Do you wish to request the book?
Optimal Two–Stage Dynamic Treatment Regimes from a Classification Perspective with Censored Survival Data
by
Davidian, Marie
, Hager, Rebecca
, Tsiatis, Anastasios A.
in
Acute Disease
/ Algorithms
/ BIOMETRIC METHODOLOGY
/ biometry
/ Biometry - methods
/ Classification
/ clinical trials
/ Computer Simulation
/ Data processing
/ Decision Support Techniques
/ Doubly robust
/ Humans
/ Inverse probability weighting
/ Iterative algorithms
/ Leukemia
/ Mapping
/ Optimal treatment regime
/ Optimization
/ Outcome Assessment, Health Care - methods
/ Outcome Assessment, Health Care - standards
/ Patients
/ probability
/ Randomized Controlled Trials as Topic
/ Sequential multiple assignment randomized trial
/ Support Vector Machine
/ Support vector machines
/ Survival
/ Survival Analysis
/ Value search
2018
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Optimal Two–Stage Dynamic Treatment Regimes from a Classification Perspective with Censored Survival Data
Journal Article
Optimal Two–Stage Dynamic Treatment Regimes from a Classification Perspective with Censored Survival Data
2018
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Overview
Clinicians often make multiple treatment decisions at key points over the course of a patient's disease. A dynamic treatment regime is a sequence of decision rules, each mapping a patient's observed history to the set of available, feasible treatment options at each decision point, and thus formalizes this process. An optimal regime is one leading to the most beneficial outcome on average if used to select treatment for the patient population. We propose a method for estimation of an optimal regime involving two decision points when the outcome of interest is a censored survival time, which is based on maximizing a locally efficient, doubly robust, augmented inverse probability weighted estimator for average outcome over a class of regimes. By casting this optimization as a classification problem, we exploit well-studied classification techniques such as support vector machines to characterize the class of regimes and facilitate implementation via a backward iterative algorithm. Simulation studies of performance and application of the method to data from a sequential, multiple assignment randomized clinical trial in acute leukemia are presented.
Publisher
Wiley-Blackwell,Blackwell Publishing Ltd
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