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100 1 a| Lesaffre, Emmanuel.?| UNAUTHORIZED;

245 10 a| Bayesian biostatisticsh| [electronic resource] /c| Emmanuel Lesaffre, Andrew B. Lawson.;

260 a| Chichester, West Sussex :b| John Wiley & Sons,;

300 a| xviii, 516 pages :b| illustrations ;c| 25 cm.;

490 1 a| Statistics in practice;

504 a| Includes bibliographical references and index.;

505 0 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.;

506 a| Available only to authorized users.;

520 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.;

538 a| Mode of access: World Wide Web;

650 0 a| Biometryx| Methodology.=| ^A1379;

650 0 a| Bayesian statistical decision theory.=| ^A20878;

650 12 a| Biostatisticsx| methods=| ^A1133962;

650 22 a| Bayes Theorem=| ^A927397;

650 6 a| Biométriex| Méthodologie.;

650 6 a| Théorie de la décision bayésienne.;

650 6 a| Théorème de Bayes.;

650 7 a| Bayesian statistical decision theory.2| fast0| (OCoLC)fst00829019;

650 7 a| Biostatistik2| gnd;

650 7 a| Bayes-Verfahren2| gnd;

655 0 a| Electronic books.=| ^A491897;

700 1 a| Lawson, Andrewq| (Andrew B.)=| ^A478143;

830 0 a| Statistics in practice.=| ^A644026;

856 40 z| Full text available from Ebook Central - Academic Completeu| https://ebookcentral.proquest.com/lib/eastcarolina/detail.action?docID=943817;

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Bayesian biostatistics / Emmanuel Lesaffre, Andrew B. Lawson.

Author/creator	Lesaffre, Emmanuel
Other author	Lawson, Andrew (Andrew B.)
Format	Electronic
Publication Info	Chichester, West Sussex : John Wiley & Sons,
Description	xviii, 516 pages : illustrations ; 25 cm.
Supplemental Content	Full text available from Ebook Central - Academic Complete
Subjects	Biometry--Methodology. Bayesian statistical decision theory. Biostatistics--methods. Bayes Theorem Biométrie--Méthodologie. Théorie de la décision bayésienne. Théorème de Bayes.

Series	Statistics in practice Statistics in practice. ^A644026
Contents	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.
Abstract	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.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2012004237
ISBN	9780470018231 (cloth)
ISBN	0470018232 (cloth)

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Bayesian biostatistics / Emmanuel Lesaffre, Andrew B. Lawson.

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