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Statistical Applications from Clinical Trials and Personalized Medicine to Finance and Business Analytics, Lin


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Цена: 20263.00р.
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При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Lin
Название:  Statistical Applications from Clinical Trials and Personalized Medicine to Finance and Business Analytics
ISBN: 9783319425672
Издательство: Springer
Классификация:



ISBN-10: 3319425676
Обложка/Формат: Hardback
Страницы: 359
Вес: 0.73 кг.
Дата издания: 2016
Серия: ICSA Book Series in Statistics
Язык: English
Иллюстрации: 24 black & white illustrations, 44 colour illustrations, 48 colour tables, biography
Размер: 234 x 156 x 22
Читательская аудитория: Professional & vocational
Основная тема: Statistics / Life Sciences, Medicine, Health Sciences
Подзаголовок: Selected Papers from the 2015 ICSA/Graybill Applied Statistics Symposium, Colorado State University, Fort Collins
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:
The papers in this volume represent a broad, applied swath of advanced contributions to the 2015 ICSA/Graybill Applied Statistics Symposium of the International Chinese Statistical Association, held at Colorado State University in Fort Collins. The contributions cover topics that range from statistical applications in business and finance to applications in clinical trials and biomarker analysis. Each papers was peer-reviewed by at least two referees and also by an editor. The conference was attended by over 400 participants from academia, industry, and government agencies around the world, including from North America, Asia, and Europe.



Empirical Likelihood

Автор: Owen
Название: Empirical Likelihood
ISBN: 1584880716 ISBN-13(EAN): 9781584880714
Издательство: Taylor&Francis
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Цена: 20671.00 р.
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Описание: Applies empirical likelihood method to problems ranging from those as simple as setting a confidence region for a univariate mean under IID sampling, to problems defined through smooth functions of means, regression models, generalized linear models, estimating equations, or kernel smooths, and to sampling with non-identically distributed data.

Personalized Medicine and Population Screening

Автор: Jeremy Nicholson
Название: Personalized Medicine and Population Screening
ISBN: 0128003448 ISBN-13(EAN): 9780128003442
Издательство: Elsevier Science
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Цена: 16338.00 р.
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Описание:

Metabolic Phenotyping in Personalized and Public Healthcare provides information on the widespread recognition that a personalized or stratified approach to patient treatment may offer a more efficient and effective healthcare solution than phenotype-led approaches.

In order to achieve that objective, a deep personal description is required at the level of the genome, proteome, metabolome, or preferably a combination of these aided by technology. This book, edited and written by the outstanding luminaries of this evolving field, evaluates metabolic profiling and its uses across personalized and population healthcare, while also covering the advent of new technology fields, such as surgical metabonomics.

In addition, the text presents specific examples of where this technology has been used clinically and with efficacy, pointing towards a framework and protocol for usage as it hits the clinical mainstream.

  • Translates the conjunction of new surgical tools for intraoperative, real-time, metabolite evaluation and direct analysis of biofluid samples into novel options for augmented clinical decision-making
  • Discusses longitudinal sampling from individual patients for stratified medicine
  • Covers high resolution analytical spectroscopy and sophisticated computational modelling for prediction of adverse reactions in critical care scenarios, prognostic evaluation of cancer from biofluidism, and prognostic prediction of metabolism or response of patients to pharmaceutical interventions
  • Encapsulates recent technology options for broader population profiling considerations, in particular, the metabolome-wide association studies (MWAS) that aid the translational researcher in identifying metabolic patterns associated with disease
  • Foreword written by Professor Dame Sally Davies who is the Chief Medical Officer for England

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