Name: Adaptive Treatment Strategies in Practice: Planning Trials and Analyzing Data for Personalized Medicine (en Inglés)
Price: 360.66 PEN
Availability: InStock
Author: Kosorok, Michael R. ; Moodie, Erica E. M.
ISBN: 9781611974171

portada Adaptive Treatment Strategies in Practice: Planning Trials and Analyzing Data for Personalized Medicine (en Inglés)

Adaptive Treatment Strategies in Practice: Planning Trials and Analyzing Data for Personalized Medicine (en Inglés)

Formato

Libro Físico

Autor

Michael R. Kosorok

Erica E. M. Moodie

Editorial

Society for Industrial and Applied Mathematic

Idioma

Inglés

N° páginas

364

Encuadernación

Tapa Blanda

Dimensiones

25.0 x 17.7 x 2.3 cm

Peso

0.76 kg.

ISBN13

9781611974171

Categorías

Investigación médica
Epidemiología y estadística médica

Adaptive Treatment Strategies in Practice: Planning Trials and Analyzing Data for Personalized Medicine (en Inglés)

Michael R. Kosorok (Autor) · Erica E. M. Moodie (Autor) · Society for Industrial and Applied Mathematic · Tapa Blanda

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Reseña del libro "Adaptive Treatment Strategies in Practice: Planning Trials and Analyzing Data for Personalized Medicine (en Inglés)"

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. A learning-by-seeing approach to the development of ATSs is provided in this book. While estimation procedures are described in sufficient heuristic and technical detail, so that less quantitative readers can understand the broad principles underlying the approaches, practices can also be implemented by more quantitative readers. As the most up-to-date summary of the current state of statistical research in personalized medicine, this book is ideal for a broad audience of health researchers.