Modeling in Medical Decision Making
Summary
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Modeling in Medical Decision Making by Giovanni Parmigiani
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.
"..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 Medicine, 28 February 2003)
"...a comprehensive presentation of topics..." (Clinical Chemistry, Vol. 49, No. 4)
"...an indispensable volume owing to the clarity of its discussion..." (Journal of Drug Assessment, Vol.6, No.4, 2003)
"...another fine practical applications book..." (Technometrics, Vol. 44, No. 4, November 2002)
"...skillfully brings together sophisticated statistical models and detailed medical applications..." (Applied Clinical Trials, June 2002)
"...surveys inferential methods...features case studies..." (SciTech Book News, Vol. 26, No. 2, June 2002)
"...useful to research students in biostatistics...a welcome addition to any undergraduate library in statistics..." (The Statistician)
"...strongly recommend...[it] to clinical researchers and statisticians." (Journal of Statistical Computation & Simulation, May 2004)
"...I recommend his book." (Statistics in Medicine, 28 February 2003)
"...a comprehensive presentation of topics..." (Clinical Chemistry, Vol. 49, No. 4)
"...an indispensable volume owing to the clarity of its discussion..." (Journal of Drug Assessment, Vol.6, No.4, 2003)
"...another fine practical applications book..." (Technometrics, Vol. 44, No. 4, November 2002)
"...skillfully brings together sophisticated statistical models and detailed medical applications..." (Applied Clinical Trials, June 2002)
"...surveys inferential methods...features case studies..." (SciTech Book News, Vol. 26, No. 2, June 2002)
"...useful to research students in biostatistics...a welcome addition to any undergraduate library in statistics..." (The Statistician)
Giovanni Parmigiani is the author of Modeling in Medical Decision Making: A Bayesian Approach, published by Wiley.
| SKU | Unavailable |
| ISBN 13 | 9780471986089 |
| ISBN 10 | 0471986089 |
| Title | Modeling in Medical Decision Making |
| Author | Giovanni Parmigiani |
| Series | Statistics In Practice |
| Condition | Unavailable |
| Publisher | John Wiley & Sons Inc |
| Year published | 2002-01-16 |
| Number of pages | 280 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |