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Elementary Bayesian Biostatistics

«

"This is a fun book for teaching oneself (or others) both some fundamental principles of epidemiology and clinical trials and fundamental principles of probability and statistical inference from the point of view of a practising clinical scientist who is also a very knowledgeable, no-nonsense Bayesian. What makes it very different from common textbooks is its blending of history, controversy (about probability, statistics, and clinical studies), real-life examples, and wise practical advice. … a very readable introduction to basic probability models, inference questions, and Bayesian answers without calculus and Markov chain Monte Carlo. …"
International Statistical Review, 2008

". . . provides a very clear exposition of Bayesian thinking for applications in biostatistics. The book’s strengths lie in its careful discussions of Bayesian thinking or problems in health care research, including the constructions of priors and loss functions . . . a welcome addition to the growing number of books that describe Bayesian modeling from an applied perspective."

–Jim Albert, Bowling Green State University, in JASA, December 2008

»

Presenting an introductory perspective to modern Bayesian procedures, this work explores Bayesian principles and illustrates their application to healthcare research. It focuses on the history and mathematical foundation of Bayesian procedures, before discussing their implementation in healthcare research from first principles. Les mer

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Presenting an introductory perspective to modern Bayesian procedures, this work explores Bayesian principles and illustrates their application to healthcare research. It focuses on the history and mathematical foundation of Bayesian procedures, before discussing their implementation in healthcare research from first principles.

Detaljer

Forlag
Chapman & Hall/CRC
Innbinding
Innbundet
Språk
Engelsk
Sider
400
ISBN
9781584887249
Utgivelsesår
2007
Format
23 x 16 cm

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«

"This is a fun book for teaching oneself (or others) both some fundamental principles of epidemiology and clinical trials and fundamental principles of probability and statistical inference from the point of view of a practising clinical scientist who is also a very knowledgeable, no-nonsense Bayesian. What makes it very different from common textbooks is its blending of history, controversy (about probability, statistics, and clinical studies), real-life examples, and wise practical advice. … a very readable introduction to basic probability models, inference questions, and Bayesian answers without calculus and Markov chain Monte Carlo. …"
International Statistical Review, 2008

". . . provides a very clear exposition of Bayesian thinking for applications in biostatistics. The book’s strengths lie in its careful discussions of Bayesian thinking or problems in health care research, including the constructions of priors and loss functions . . . a welcome addition to the growing number of books that describe Bayesian modeling from an applied perspective."

–Jim Albert, Bowling Green State University, in JASA, December 2008

»

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