Inference for Optimal Dynamic Treatment Regimes Using an Adaptivem-Out-of-nBootstrap Scheme
نویسندگان
چکیده
منابع مشابه
Inference for optimal dynamic treatment regimes using an adaptive m-out-of-n bootstrap scheme.
A dynamic treatment regime consists of a set of decision rules that dictate how to individualize treatment to patients based on available treatment and covariate history. A common method for estimating an optimal dynamic treatment regime from data is Q-learning which involves nonsmooth operations of the data. This nonsmoothness causes standard asymptotic approaches for inference like the bootst...
متن کاملOptimal dynamic treatment regimes
A dynamic treatment regime is a list of decision rules, one per time interval, for how the level of treatment will be tailored through time to an individual’s changing status.The goal of this paper is to use experimental or observational data to estimate decision regimes that result in a maximal mean response. To explicate our objective and to state the assumptions, we use the potential outcome...
متن کاملDemystifying optimal dynamic treatment regimes.
A dynamic regime is a function that takes treatment and covariate history and baseline covariates as inputs and returns a decision to be made. Murphy (2003, Journal of the Royal Statistical Society, Series B 65, 331-366) and Robins (2004, Proceedings of the Second Seattle Symposium on Biostatistics, 189-326) have proposed models and developed semiparametric methods for making inference about th...
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Dynamic treatment regimes, also known as treatment policies, are increasingly being used to operationalize sequential clinical decision making associated with patient care. Common approaches to constructing a dynamic treatment regime from data, such as Q-learning, employ non-smooth functionals of the data. Therefore, simple inferential tasks such as constructing a confidence interval for the pa...
متن کاملOptimal dynamic regimes: presenting a case for predictive inference.
Dynamic treatment regime is a decision rule in which the choice of the treatment of an individual at any given time can depend on the known past history of that individual, including baseline covariates, earlier treatments, and their measured responses. In this paper we argue that finding an optimal regime can, at least in moderately simple cases, be accomplished by a straightforward applicatio...
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ژورنال
عنوان ژورنال: Biometrics
سال: 2013
ISSN: 0006-341X
DOI: 10.1111/biom.12052