- Taschenbuch: 406 Seiten
- Verlag: Elsevier LTD, Oxford; Auflage: New edition (März 1988)
- Sprache: Englisch
- ISBN-10: 075069288X
- ISBN-13: 978-0750692885
- Größe und/oder Gewicht: 23,3 x 14,2 x 2,2 cm
- Durchschnittliche Kundenbewertung: Schreiben Sie die erste Bewertung
- Amazon Bestseller-Rang: Nr. 2.319.620 in Fremdsprachige Bücher (Siehe Top 100 in Fremdsprachige Bücher)
Medical Decision Making (Englisch) Taschenbuch – März 1988
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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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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.
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.