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Medical Decision Making (Englisch) Taschenbuch – März 1988


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Taschenbuch, März 1988
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Synopsis

This is a clearly presented, step-by-step guide to understanding how, through the processes of decision analysis, a physician can reach valid, reasoned conclusions about medical treatment despite possibly imperfect information about the patient.

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Die hilfreichsten Kundenrezensionen auf Amazon.com (beta)

Amazon.com: 4.0 von 5 Sternen 5 Rezensionen
1 von 1 Kunden fanden die folgende Rezension hilfreich
4.0 von 5 Sternen Nicely explained for those MDs who can't access or don't trust computers for the number-crunching 8. Juli 2013
Von Lakeside Duchess - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
Sox gives a good background and explanation for the "how-to" in calculating probabilities for diagnosis and treatment. He explains why using the data and using it properly is far more likely to lead to a correct diagnosis than merely going with the gut and heuristics. Of course, as computer programs get more sophisticated, we can move the number-crunching responsibilities away from the docs and let them do what they do best - the human side of medicine. The writing style is both entertaining and easy to understand. A good read for anyone who wishes to understand what a physician should be doing when presenting his/her opinion and a diagnosis.
1.0 von 5 Sternen One Star 31. März 2016
Von John A. Byrne - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
Way too pedantic
0 von 1 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Quick delivery and perfect condition 6. April 2013
Von Ana - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
This item was delivered at the expected date and it was in perfect condition. I am glad that I was able to receive the book so quickly since it was a necessary book for a course that I am taking.
The book itself is very easy to read and has illustrations to help make the concepts easier to understand. I am delighted with my purchase.
17 von 18 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Simple easy reading 26. April 2001
Von Ein Kunde - Veröffentlicht auf Amazon.com
Format: Taschenbuch
Having read a number of books in the area of medical decision making, I feel this book by Sox et al...is one of the most useful book on the subject.. It is very readable and provides worked out examples which carry the reader through the steps involved in decision analysis.... With the limited number of books on the subject, I think its a must for people in the field of medical decision making.
5.0 von 5 Sternen An excellent reference on the subject 28. Februar 2016
Von Abacus - Veröffentlicht auf Amazon.com
Format: Taschenbuch Verifizierter Kauf
Over the past decade and a half I have read and studied numerous quantitative books to essentially better understand math in its various aspects. As you know, this is an intellectual exploration without a finish line. And, this book is a treat.

The four coauthors do an excellent job of building and aggregating the building blocks underlying medical decisions. Those main blocks consist of Bayesian statistics, Utility theory, and Decision Analysis. Invariably, the authors start out slow introducing the concepts in a very user friendly and visual way. This renders the subjects easy to absorb and learn even for the non-mathematicians. But, as the subjects do call for it, the coauthors build on those simple foundations and go into the complexities of the respective topic. And, there is plenty of that.

This is a book to read, study, and review with an open Excel spreadsheet to replicate their example in order to truly absorb the material. This is somewhat inevitable given the nature of the subject.

In view of the above, the authors have covered basic Bayesian statistics as well as anyone else I have read, and, most often in more depth too. For instance, I find their coverage of that subject much superior to Nate Silver’s "The Signal and the Noise" which was an outstanding book on many other counts. But, if you really want to understand Bayes theorem this book is much better.

Reading this book, I have to wonder what is the percentage of doctors that understand the math of decision analysis in their practice even with the assistance of a computer program. I feel that as a responsible patient, it most probably behooves one to learn and understand such math. Inevitably, we will have to contribute at some point in making very difficult medical decisions for ourselves, a close relative or friend. And, at such time the knowledge imparted in this book may be very helpful.
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