Document Detail


Q-learning for estimating optimal dynamic treatment rules from observational data.
MedLine Citation:
PMID:  23355757     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
The area of dynamic treatment regimes (DTR) aims to make inference about adaptive, multistage decision-making in clinical practice. A DTR is a set of decision rules, one per interval of treatment, where each decision is a function of treatment and covariate history that returns a recommended treatment. Q-learning is a popular method from the reinforcement learning literature that has recently been applied to estimate DTRs. While, in principle, Q-learning can be used for both randomized and observational data, the focus in the literature thus far has been exclusively on the randomized treatment setting. We extend the method to incorporate measured confounding covariates, using direct adjustment and a variety of propensity score approaches. The methods are examined under various settings including non-regular scenarios. We illustrate the methods in examining the effect of breastfeeding on vocabulary testing, based on data from the Promotion of Breastfeeding Intervention Trial.
Authors:
Erica E M Moodie; Bibhas Chakraborty; Michael S Kramer
Related Documents :
24565217 - An effective evolutionary algorithm for protein folding on 3d fcc hp model by lattice r...
23367167 - Supporting reconstruction of the blood vessel network using graph theory: an abstractio...
24403397 - Biased predecisional processing of leading and nonleading alternatives.
24369307 - The historical changes in the list of plasma fractionation products placed on the who m...
21147827 - Climate change affects populations of northern birds in boreal protected areas.
18289237 - Metabolic acidosis in the critically ill: part 1. classification and pathophysiology.
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-11-7
Journal Detail:
Title:  The Canadian journal of statistics = Revue canadienne de statistique     Volume:  40     ISSN:  0319-5724     ISO Abbreviation:  Can J Stat     Publication Date:  2012 Dec 
Date Detail:
Created Date:  2013-1-28     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101092391     Medline TA:  Can J Stat     Country:  -    
Other Details:
Languages:  ENG     Pagination:  629-645     Citation Subset:  -    
Affiliation:
McGill University, Department of Epidemiology, Biostatistics, and Occupational Health, QC, Canada H3A 1A2.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Reactivation of a Ruthenium-Based Olefin Metathesis Catalyst.
Next Document:  Pleural Plaques and the Risk of Pleural Mesothelioma.