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.
"synopsis" may belong to another edition of this title.
Giovanni Parmigiani is the author of Modeling in Medical Decision Making: A Bayesian Approach, published by Wiley.
The great strength of the book is that it deals with real problems in medical decision-making...with considerable clarity. (Dennis Lindley)
"About this title" may belong to another edition of this title.
Shipping:
US$ 15.00
From Canada to U.S.A.
Seller: Books on the Web, Winnipeg, MB, Canada
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. Seller Inventory # 27336
Quantity: 1 available
Seller: BooksRun, Philadelphia, PA, U.S.A.
Hardcover. Condition: Very Good. 1. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported. Seller Inventory # 0471986089-8-1
Quantity: 1 available
Seller: ChouetteCoop, Kervignac, France
Condition: Used: Good. Occasion - Bon Etat - Modeling in medical decision making ? A bayesian approach (2002) - Grand Format. Seller Inventory # 2939894
Quantity: 1 available
Seller: PsychoBabel & Skoob Books, Didcot, United Kingdom
Hardcover. Condition: Good. Dust Jacket Condition: 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. Seller Inventory # 453101
Quantity: 1 available
Seller: Big River Books, Powder Springs, GA, U.S.A.
Condition: 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. Seller Inventory # 1EYPYC004F0L_ns
Quantity: 1 available
Seller: Broad Street Books, Branchville, NJ, U.S.A.
hardcover. Condition: New. Brand New Book. Seller Inventory # 62175
Quantity: 1 available
Seller: BennettBooksLtd, North Las Vegas, NV, U.S.A.
hardcover. Condition: New. In shrink wrap. Looks like an interesting title! Seller Inventory # Q-0471986089
Quantity: 1 available
Seller: librisaggi, SAN VITO ROMANO, Italy
brossura. Condition: Ottimo (Fine). 1. Legatura ed. Copertina plastificata. 9780471986089 Ottimo (Fine) . Book. Seller Inventory # BOOK-U-010600284
Quantity: 1 available
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition. Seller Inventory # 85788
Quantity: Over 20 available
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New. Seller Inventory # 85788-n
Quantity: Over 20 available