Meta-Analysis, Decision Analysis, and Cost-Effectiveness Analysis: Methods for Quantitative Synthesis in Medicine
Meta-Analysis, Decision Analysis, and Cost-Effectiveness

Meta-Analysis, Decision Analysis, and Cost-Effectiveness Analysis: Methods for Quantitative Synthesis in Medicine

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Oxford University Press

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978019513364

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Product Specifications
Product NameMeta-Analysis, Decision Analysis, and Cost-Effectiveness Analysis: Methods for Quantitative Synthesis in Medicine
ManufacturerOxford University Press
Product Number MPN3440755
Retail Price $52.00
EAN-1409780195133646
UPC978019513364
Specifications 
TitleMeta-Analysis, Decision Analysis, and Cost-Effectiveness Analysis: Methods for Quantitative Synthesis in Medicine
ISBN0195133641
Author(s)Diana B. Petitti
Release Date2000-01-15
FormatHardcover
Num of Pages306
Num. of Items1
EAN9780195133646
Weight1 lbs.

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Find other products that have similar tags to the Meta-Analysis, Decision Analysis, and Cost-Effectiveness Analysis: Methods for Quantitative Synthesis in Medicine
General Science Medicine Decision making Medical / Nursing Medical Epidemiology Life Sciences - Biology - General Cost effectiveness Public Health Statistical decision Biostatistics Meta-analysis Philosophy Of Medicine
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Reviews
5 Star Rating  "excellent introductory text"2008-06-22
- Reviewed By Anonymous
The text provides an in depth introduction into the meta-analysis, decision analysis, and cost-effectiveness analysis. The examples are helpful and practical. Shortcomings and limitations of the techniques are reviewed. The book achieves a good balance between theory and practicality.
 
5 Star Rating  "Best guide for analysis"2006-12-20
- Reviewed By User: AQ3540NJNST0C
There are several ways to do analysis of the health care industry but this book covers the big three. Cost Effectiveness is the most useful from a business standpoint. This book covers the math and theory behind each of these methods and gives strong arguments for how to write in each of them. As a health and pharmaceutical economist I found this book to be invaluable. It is written very clearly and helps sort through many of the issues especially meta analysis. If you are starting out in the health analyst field this is a must read and a book you will want to have handy at all times.
 
5 Star Rating  "An excellent introductory text"2002-02-05
- Reviewed By huncharekphotog
Meta-analysis, as both an applied and theoretical science, continues to develop from its rather humble beginnings. Since most physicians lack a strong background in quantitative science, rigorous statistical approaches to clinical decision making have been slow to gain widespread support. Despite its limitations, meta-analysis is proving to be an important vehicle for making sense of the increasingly overwhelming amount of published data in the biomedical sciences. Petitti's book goes a long way in demystifying meta-analysis for the rank and file and also serves as an excellent introduction to the field for the more statistically literate.

Most of my own work is in meta-analysis and I bought the book exclusively for this content and not information on decision analysis and cost-effectiveness analysis. I do not mean to minimize the importance of the latter but rather point out my own narrow interest in the Petitti text.

The book is well written and concise. Petitti "cuts to the chase" explaining the theory underlying meta-analytic methods and provides many useful examples from the medical literature. The text is easy to follow, understandable and well balanced. A thorough reading should leave the reader well prepared for further exploration of applied meta-analysis as well as capable of articulating its strengths, weaknesses and future direction.

Overall, Petitti's text is an excellent place to start for those interested in learning the fundamentals of "research synthesis". The book is also an extremely handy references for the more experienced practitioner. I highly recommend it.

 
5 Star Rating  "clearest yet description this topic"1997-07-08
- Reviewed By Anonymous
In a forest of mirky and arcane descriptions of a field that has come to dominate medical research and policy making, this book stands out for its clarity. Dr. Petitti speaks a language that normal people can understand. She avoids jargon and frequently uses quantitative examples that make it easy to plug in your own problems and directly apply her lessons to your tasks. This is easily the best book in print on this topic
 
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