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Model Assisted Statistics and Applications - Volume 12, issue 3

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Price: EUR 85.00
ISSN 1574-1699 (P)
ISSN 1875-9068 (E)

Model Assisted Statistics and Applications is a peer reviewed international journal. Model Assisted Statistics means an improvement of inference and analysis by use of correlated information, or an underlying theoretical or design model. This might be the design, adjustment, estimation or analytical phase of statistical project.

This information may be survey-generated or coming from an independent source. Original papers in the field of sampling theory, econometrics, time-series, design of experiments, and multivariate analysis are preferred. Papers of both applied and theoretical topics are acceptable.

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A unified approach for subgroup identification and individualized treatment recommendation with applications to randomized control trials and observational studies

Authors: Fu, Haoda | Zhou, Jin

Article Type: Research Article

Abstract: Precision medicine is important in the new era of medical product development. It focuses on optimizing healthcare decision for each individual patient based on this subject’s context information. Traditional statistics methods for precision medicine and subgroup identification primarily focus on single treatment or two arm randomized control trials. Its has limited capability to handle observational studies where treatment assignments could depend on covariates. In this paper, we described the limitations of traditional subgroup identification methods, and propose a general framework which connects the subgroup identification methods and individualized treatment recommendation rules. The proposed framework is able to handle two or … Show more

Keywords: Multiple treatments, observational studies, personalized medicine, randomized control trials, subgroup identification, value function

DOI: 10.3233/MAS-170403

Citation: Model Assisted Statistics and Applications, vol. 12, no. 3, pp. 287-301, 2017

Price: EUR 27.50
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