9780471986089 - Modeling in Medical Decision Making: A Bayesian Approach (Statistics in Practice) de Parmigiani (29 resultados)

As new! Hard bound in red laminated boards, first edition, xi, Pp266. Includes references and index. As new. 520 grams. All books in stock and available for immediate shipment from Winnipeg, Manitoba.

hardcover. Condición: Good. Ex-library copy with usual markings.

Condición: good. Book is considered to be in good or better condition. The actual cover image may not match the stock photo. Hard cover books may show signs of wear on the spine, cover or dust jacket. Paperback book may show signs of wear on spine or cover as well as having a slight bend, curve or creasing to it. Book should have minimal to no writing inside and no highlighting. Pages should be free of tears or creasing. Stickers should not be present on cover or elsewhere, and any CD or DVD expected with the book is included. Book is not a former library copy.

Condición: good. This book is in good condition. The cover has minor creases or bends. The binding is tight and pages are intact. Some pages may have writing or highlighting.

brossura. Condición: Fine. 1. Legatura ed. Copertina plastificata. 9780471986089 Ottimo (Fine) . Book.

Hardcover. Condición: Good. Estado de la sobrecubierta: No Dust Jacket. Hardcover in good condition. No jacket. A few light marks and scores on boards. Spine ends are a little bumped. Leading corners are slightly worn. Contents are clean and clear. AM. Used.

hardcover. Condición: New. In shrink wrap. Looks like an interesting title!

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: new.

Condición: New. In.

Condición: New.

Condición: As New. Unread book in perfect condition.

Hardback. Condición: New. 1st. Parallelisierte Algorithmen auf Hochleistungsrechnern ermöglichen in letzter Zeit Simulationen mit immer mehr Variablen und haben zur Entwicklung neuer, aussagekräftiger Hilfsmittel der medizinischen Statistik und Entscheidungsfindung beigetragen. Ausgehend von einem interdisziplinärern Ansatz, konzentriert sich der Autor in erster Linie auf Bayes-Verfahren und deren Anwendung in der Medizin. Fallstudien illustrieren die Ansätze (vor allem Bayes- und Markov-Monte-Carlo-Methoden) und deren Implementation in Computerprogramme. Mit zahlreichen Fallstudien, die nicht nur für die medizinische Entscheidungsfindung relevant und interessant sind.

Hardback. Condición: New. New copy - Usually dispatched within 4 working days.

Condición: New. Recent progress in fast, parallel computing and in simulation-based inference has lead to the development of extremely powerful statistical tools. These can now be successfully applied to address the most pressing practical and ethical concerns arising from medical decision problems. Series: Statistics in Practice. Num Pages: 280 pages, illustrations. BIC Classification: KJMD; MB; MJ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 238 x 162 x 21. Weight in Grams: 560. . 2002. 1st Edition. Hardcover. . . . .

hardcover. Condición: new.

Condición: New. .good to use as one component in a graduate course.for established statisticians and biostatisticians, the book is a good way to get up to speed. (Journal of the American Statistical Association, March 2007) .strongly recommend.[it] to clinical .

Hardcover. Condición: Brand New. 1st edition. 266 pages. 9.00x6.25x0.75 inches. In Stock.

Condición: New. Recent progress in fast, parallel computing and in simulation-based inference has lead to the development of extremely powerful statistical tools. These can now be successfully applied to address the most pressing practical and ethical concerns arising from medical decision problems. Series: Statistics in Practice. Num Pages: 280 pages, illustrations. BIC Classification: KJMD; MB; MJ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 238 x 162 x 21. Weight in Grams: 560. . 2002. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Hardback. Condición: New. 1st. Parallelisierte Algorithmen auf Hochleistungsrechnern ermöglichen in letzter Zeit Simulationen mit immer mehr Variablen und haben zur Entwicklung neuer, aussagekräftiger Hilfsmittel der medizinischen Statistik und Entscheidungsfindung beigetragen. Ausgehend von einem interdisziplinärern Ansatz, konzentriert sich der Autor in erster Linie auf Bayes-Verfahren und deren Anwendung in der Medizin. Fallstudien illustrieren die Ansätze (vor allem Bayes- und Markov-Monte-Carlo-Methoden) und deren Implementation in Computerprogramme. Mit zahlreichen Fallstudien, die nicht nur für die medizinische Entscheidungsfindung relevant und interessant sind.

Buch. Condición: Neu. Neuware - Parallelisierte Algorithmen auf Hochleistungsrechnern ermöglichen in letzter Zeit Simulationen mit immer mehr Variablen und haben zur Entwicklung neuer, aussagekräftiger Hilfsmittel der medizinischen Statistik und Entscheidungsfindung beigetragen. Ausgehend von einem interdisziplinärern Ansatz, konzentriert sich der Autor in erster Linie auf Bayes-Verfahren und deren Anwendung in der Medizin. Fallstudien illustrieren die Ansätze (vor allem Bayes- und Markov-Monte-Carlo-Methoden) und deren Implementation in Computerprogramme. Mit zahlreichen Fallstudien, die nicht nur für die medizinische Entscheidungsfindung relevant und interessant sind.

Condición: Used: Good. Occasion - Bon Etat - Modeling in medical decision making ? A bayesian approach (2002) - Grand Format.

Hardcover. Condición: new. Hardcover. Medical decision making has evolved in recent years, as more complex problems are being faced and addressed based on increasingly large amounts of data. In parallel, advances in computing have led to a host of new and powerful statistical tools to support decision making. Simulation-based Bayesian methods are especially promising, as they provide a unified framework for data collection, inference, and decision making. In addition, these methods are simple to interpret, and can help to address the most pressing practical and ethical concerns arising in medical decision making. * Provides an overview of the necessary methodological background, including Bayesian inference, Monte Carlo simulation, and utility theory. * Driven by three real applications, presented as extensively detailed case studies. * Case studies include simplified versions of the analysis, to approach complex modelling in stages. * Features coverage of meta-analysis, decision analysis, and comprehensive decision modeling. * Accessible to readers with only a basic statistical knowledge. Primarily aimed at students and practitioners of biostatistics, the book will also appeal to those working in statistics, medical informatics, evidence-based medicine, health economics, health services research, and health policy. Recent progress in fast, parallel computing and in simulation-based inference has lead to the development of extremely powerful statistical tools. These can now be successfully applied to address the most pressing practical and ethical concerns arising from medical decision problems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 578.

Hardcover. Condición: new. Hardcover. Medical decision making has evolved in recent years, as more complex problems are being faced and addressed based on increasingly large amounts of data. In parallel, advances in computing have led to a host of new and powerful statistical tools to support decision making. Simulation-based Bayesian methods are especially promising, as they provide a unified framework for data collection, inference, and decision making. In addition, these methods are simple to interpret, and can help to address the most pressing practical and ethical concerns arising in medical decision making. * Provides an overview of the necessary methodological background, including Bayesian inference, Monte Carlo simulation, and utility theory. * Driven by three real applications, presented as extensively detailed case studies. * Case studies include simplified versions of the analysis, to approach complex modelling in stages. * Features coverage of meta-analysis, decision analysis, and comprehensive decision modeling. * Accessible to readers with only a basic statistical knowledge. Primarily aimed at students and practitioners of biostatistics, the book will also appeal to those working in statistics, medical informatics, evidence-based medicine, health economics, health services research, and health policy. Recent progress in fast, parallel computing and in simulation-based inference has lead to the development of extremely powerful statistical tools. These can now be successfully applied to address the most pressing practical and ethical concerns arising from medical decision problems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condición: Brand New. 1st edition. 266 pages. 9.00x6.25x0.75 inches. In Stock. This item is printed on demand.

Hardcover. Condición: new. Hardcover. Medical decision making has evolved in recent years, as more complex problems are being faced and addressed based on increasingly large amounts of data. In parallel, advances in computing have led to a host of new and powerful statistical tools to support decision making. Simulation-based Bayesian methods are especially promising, as they provide a unified framework for data collection, inference, and decision making. In addition, these methods are simple to interpret, and can help to address the most pressing practical and ethical concerns arising in medical decision making. * Provides an overview of the necessary methodological background, including Bayesian inference, Monte Carlo simulation, and utility theory. * Driven by three real applications, presented as extensively detailed case studies. * Case studies include simplified versions of the analysis, to approach complex modelling in stages. * Features coverage of meta-analysis, decision analysis, and comprehensive decision modeling. * Accessible to readers with only a basic statistical knowledge. Primarily aimed at students and practitioners of biostatistics, the book will also appeal to those working in statistics, medical informatics, evidence-based medicine, health economics, health services research, and health policy. Recent progress in fast, parallel computing and in simulation-based inference has lead to the development of extremely powerful statistical tools. These can now be successfully applied to address the most pressing practical and ethical concerns arising from medical decision problems. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.