Articles liés à Bayesian Thinking in Biostatistics
Synopsis
With a focus on incorporating sensible prior distributions and discussions on many recent developments in Bayesian methodologies, Bayesian Thinking in Biostatistics considers statistical issues in biomedical research.
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À propos de l?auteur
Authors
Gary L. Rosner is the Eli Kennerly Marshall, Jr., Professor of Oncology at the Johns Hopkins School of Medicine and Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health.
Purushottam (Prakash) W. Laud is Professor in the Division of Biostatistics, and Director of the Biostatistics Shared Resource for the Cancer Center, at the Medical College of Wisconsin.
Wesley O. Johnson is professor Emeritus in the Department of Statistics as the University of California, Irvine.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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An Introduction to Bayesian Biostatistics (Chapman & Hall/CRC Texts in Statistical Science)
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Chapman and Hall/CRC 2021-01-01, 2021
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Bayesian Thinking in Biostatistics (Chapman & Hall/CRC Texts in Statistical Science)
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Etat : New. pp. 400. N° de réf. du vendeur 261146705
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Bayesian Thinking in Biostatistics (Chapman & Hall/CRC Texts in Statistical Science)
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Bayesian Thinking in Biostatistics (Chapman & Hall/CRC Texts in Statistical Science)
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Chapman and Hall/CRC, 2021
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ISBN 13 : 9781439800089
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Bayesian Thinking in Biostatistics (Chapman & Hall/CRC Texts in Statistical Science)
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Taylor & Francis Group, 2021
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ISBN 13 : 9781439800089
Neuf
Couverture rigide
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Bayesian Thinking in Biostatistics
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Bayesian Thinking in Biostatistics (Chapman & Hall/CRC Texts in Statistical Science)
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ISBN 10 : 1439800081
ISBN 13 : 9781439800089
Neuf
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Bayesian Thinking in Biostatistics
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CRC Press Jan 2021, 2021
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Praise for Bayesian Thinking in Biostatistics:'This thoroughly modern Bayesian book .is a 'must have' as a textbook or a reference volume. Rosner, Laud and Johnson make the case for Bayesian approaches by melding clear exposition on methodology with serious attention to a broad array of illuminating applications. These are activated by excellent coverage of computing methods and provision of code. Their content on model assessment, robustness, data-analytic approaches and predictive assessments.are essential to valid practice. The numerous exercises and professional advice make the book ideal as a text for an intermediate-level course.' -Thomas Louis, Johns Hopkins University'The book introduces all the important topics that one would usually cover in a beginning graduate level class on Bayesian biostatistics. The careful introduction of the Bayesian viewpoint and the mechanics of implementing Bayesian inference in the early chapters makes it a complete self- contained introduction to Bayesian inference for biomedical problems.Another great feature for using this book as a textbook is the inclusion of extensive problem sets, going well beyond construed and simple problems. Many exercises consider real data and studies, providing very useful examples in addition to serving as problems.'- Peter Mueller, University of TexasWith a focus on incorporating sensible prior distributions and discussions on many recent developments in Bayesian methodologies, Bayesian Thinking in Biostatistics considers statistical issues in biomedical research. The book emphasizes greater collaboration between biostatisticians and biomedical researchers. The text includes an overview of Bayesian statistics, a discussion of many of the methods biostatisticians frequently use, such as rates and proportions, regression models, clinical trial design, and methods for evaluating diagnostic tests.Key FeaturesApplies a Bayesian perspective to applications in biomedical scienceHighlights advances in clinical trial designGoes beyond standard statistical models in the book by introducing Bayesian nonparametric methods and illustrating their uses in data analysisEmphasizes estimation of biomedically relevant quantities and assessment of the uncertainty in this estimationProvides programs in the BUGS language, with variants for JAGS and Stan, that one can use or adapt for one's own researchThe intended audience includes graduate students in biostatistics, epidemiology, and biomedical researchers, in generalAuthorsGary L. Rosner is the Eli Kennerly Marshall, Jr., Professor of Oncology at the Johns Hopkins School of Medicine and Professor of Biostatistics at the Johns Hopkins Bloomberg School of Public Health. Purushottam (Prakash) W. Laud is Professor in the Division of Biostatistics, and Director of the Biostatistics Shared Resource for the Cancer Center, at the Medical College of Wisconsin. Wesley O. Johnson is professor Emeritus in the Department of Statistics as the University of California, Irvine. 601 pp. Englisch. N° de réf. du vendeur 9781439800089
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Bayesian Thinking in Biostatistics
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Chapman and Hall/CRC, 2021
ISBN 10 : 1439800081
ISBN 13 : 9781439800089
Neuf
Couverture rigide
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Bayesian Thinking in Biostatistics (Chapman & Hall/CRC Texts in Statistical Science)
Edité par
Chapman and Hall/CRC, 2021
ISBN 10 : 1439800081
ISBN 13 : 9781439800089
Neuf
Couverture rigide
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