Modeling in Medical Decision Making : A Bayesian Approach

Giovanni Parmigiani

ISBN 10: 0471986089 / ISBN 13: 9780471986089

Published by Wiley Mär 2002, 2002

About this Item

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.

Seller Inventory # 9780471986089

Bibliographic Details

• Title: Modeling in Medical Decision Making : A Bayesian Approach
• Publisher: Wiley Mär 2002
• Publication Date: 2002
• Language: English
• ISBN 10: 0471986089
• ISBN 13: 9780471986089
• Binding: Buch
• Condition: Neu
• Dimensions: 235W x 157H x 21D millimeters 235 millimeters width by 157 millimeters height by 21 millimeters depth
• Weight: 611 grams

About this title

Synopsis

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.

About the Author

Giovanni Parmigiani is the author of Modeling in Medical Decision Making: A Bayesian Approach, published by Wiley.