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Adaptive treatment strategies in practice : planning trials and analyzing data for personalized medicine / edited by Michael Kosorok (Universtiy of North Carolina, Chapel Hill, North Carolina), Erica Moodie (McGill University, Montreal, Quebec, Canada)

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: ASA-SIAM statistics and applied probability series | American Statistical Association. ASA-SIAM series on statistics and applied probability ; 21Publisher: Philadelphia : SIAM, Society for Industrial and Applied Mathematics, 2016Description: 1 Online-Ressource (XVI, 348 Seiten) : IllustrationenISBN:
  • 9781611974188
  • 9781611974171
Subject(s): Additional physical formats: 9781611974171 | Erscheint auch als: Adaptive Treatment Strategies in Practice. Druck-Ausgabe. Alexandria, Virginia : ASA American Statistical Association, 2016. xvi, 348 SeitenDDC classification:
  • 610.21
  • 610.2/1 23
MSC: MSC: *92-06 | 92C50 | 92B15 | 62P10 | 90B70 | 00B15RVK: RVK: SK 840DOI: DOI: 10.1137/1.9781611974188Online resources: Summary: Personalized medicine is a medical paradigm that emphasizes systematic use of individual patient information to optimize that patient's health care, particularly in managing chronic conditions and treating cancer. In the statistical literature, sequential decision making is known as an adaptive treatment strategy (ATS) or a dynamic treatment regime (DTR). The field of DTRs emerges at the interface of statistics, machine learning, and biomedical science to provide a data-driven framework for precision medicine. The authors provide a learning-by-seeing approach to the development of ATSs, aimed at a broad audience of health researchers. All estimation procedures used are described in sufficient heuristic and technical detail so that less quantitative readers can understand the broad principles underlying the approaches. At the same time, more quantitative readers can implement these practices. Adaptive Treatment Strategies in Practice: Planning Trials and Analyzing Data for Personalized Medicine provides the most up-to-date summary of the current state of the statistical research in personalized medicine, contains chapters by leaders in the area from both the statistics and computer sciences fields, contains a range of practical advice, introductory and expository materials, and case studies.PPN: PPN: 847465004Package identifier: Produktsigel: ZDB-72-SIA
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