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|a Lesaffre, Emmanuel,
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|a Bayesian biostatistics /
|c Emmanuel Lesaffre, Andrew B. Lawson
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|a Chichester, West Sussex :
|b John Wiley & Sons,
|c 2012
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|a 1 online resource (xviii, 516 pages) :
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|a Statistics in practice
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|a Includes bibliographical references and index
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|a Basic concepts in Bayesian methods -- Bayes theorem -- Posterior summary measures -- More than one parameter -- The prior distribution -- Markov chain Monte Carlo -- Software -- Hierarchical models -- Model building and assessment -- Variable selection -- Bioassay -- Measurement error -- Survival analysis -- Longitudinal analysis -- Disease mapping & image analysis -- Final chapter -- Distributions
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|a License restrictions may limit access
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|a This book provides an authoritative account of Bayesian methodology, from its most basic elements to its practical implementations, with an emphasis on healthcare techniques. Contains introductory explanations of Bayesian principles common to all areas
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|a Bayesian statistical decision theory
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|a Théorie de la décision bayésienne
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|a Théorème de Bayes
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|a Bayes-Verfahren
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|a Bayesian statistical decision theory
|2 fast
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|a Biostatistik
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|a Biostatistics
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|a Bayes Theorem
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|a Lawson, Andrew
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