Statistical Learning of Origin-Specific Statically Optimal Individualized Treatment Rules
نویسندگان
چکیده
منابع مشابه
Statistical learning of origin-specific statically optimal individualized treatment rules.
Consider a longitudinal observational or controlled study in which one collects chronological data over time on a random sample of subjects. The time-dependent process one observes on each subject contains time-dependent covariates, time-dependent treatment actions, and an outcome process or single final outcome of interest. A statically optimal individualized treatment rule (as introduced in v...
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Individualized treatment rules, or rules for altering treatments over time in response to changes in individual covariates, are of primary importance in the practice of clinical medicine. Several statistical methods aim to estimate the rule, termed an optimal dynamic treatment regime, which will result in the best expected outcome in a population. In this article, we discuss estimation of an al...
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Because many illnesses show heterogeneous response to treatment, there is increasing interest in individualizing treatment to patients [11]. An individualized treatment rule is a decision rule that recommends treatment according to patient characteristics. We consider the use of clinical trial data in the construction of an individualized treatment rule leading to highest mean response. This is...
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One major goal of treatment evaluation in the social and medical sciences is to provide guidance on how to assign individuals to treatments. For example, a number of studies have examined the problem of “profiling” individuals to identify those likely to benefit from a social program.1 Manski (2000, 2002, 2004) and Dehejia (2005) suggest placing the problem within a decisiontheoretic framework,...
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ژورنال
عنوان ژورنال: The International Journal of Biostatistics
سال: 2007
ISSN: 1557-4679
DOI: 10.2202/1557-4679.1040