Modeling in Medical Decision Making: A Bayesian Approach
Giovanni Parmigiani
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Description for Modeling in Medical Decision Making: A Bayesian Approach
Hardback. 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.
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 ... Read more
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 ... Read more
Product Details
Format
Hardback
Publication date
2002
Publisher
John Wiley & Sons Inc United Kingdom
Number of pages
280
Condition
New
Series
Statistics in Practice
Number of Pages
280
Place of Publication
New York, United States
ISBN
9780471986089
SKU
V9780471986089
Shipping Time
Usually ships in 7 to 11 working days
Ref
99-50
About Giovanni Parmigiani
Giovanni Parmigiani is the author of Modeling in Medical Decision Making: A Bayesian Approach, published by Wiley.
Reviews for Modeling in Medical Decision Making: A Bayesian Approach
"...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 researchers and statisticians." (Journal of Statistical Computation & Simulation, May 2004) "...I recommend his book." (Statistics in ... Read more