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Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032241527 ISBN 13: 9781032241524
Language: English
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Published by Chapman and Hall/CRC, 2021
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Language: English
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032241527 ISBN 13: 9781032241524
Language: English
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Condition: New. pp. 536 Index 1st Edition.
Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032241527 ISBN 13: 9781032241524
Language: English
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Published by Chapman and Hall/CRC, 2021
ISBN 10: 1032241527 ISBN 13: 9781032241524
Language: English
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hardcover. Condition: Fine. Open Books is a nonprofit social venture that provides literacy experiences for thousands of readers each year through inspiring programs and creative capitalization of books.
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Published by John Wiley and Sons Inc, US, 2012
ISBN 10: 0470018232 ISBN 13: 9780470018231
Language: English
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Add to basketHardback. Condition: New. The growth of biostatistics has been phenomenal in recent years and has been marked by considerable technical innovation in both methodology and computational practicality. One area that has experienced significant growth is Bayesian methods. The growing use of Bayesian methodology has taken place partly due to an increasing number of practitioners valuing the Bayesian paradigm as matching that of scientific discovery. In addition, computational advances have allowed for more complex models to be fitted routinely to realistic data sets. Through examples, exercises and a combination of introductory and more advanced chapters, this book provides an invaluable understanding of the complex world of biomedical statistics illustrated via a diverse range of applications taken from epidemiology, exploratory clinical studies, health promotion studies, image analysis and clinical trials. Key Features: Provides an authoritative account of Bayesian methodology, from its most basic elements to its practical implementation, with an emphasis on healthcare techniques.Contains introductory explanations of Bayesian principles common to all areas of application.Presents clear and concise examples in biostatistics applications such as clinical trials, longitudinal studies, bioassay, survival, image analysis and bioinformatics.Illustrated throughout with examples using software including WinBUGS, OpenBUGS, SAS and various dedicated R programs.Highlights the differences between the Bayesian and classical approaches.Supported by an accompanying website hosting free software and case study guides. Bayesian Biostatistics introduces the reader smoothly into the Bayesian statistical methods with chapters that gradually increase in level of complexity. Master students in biostatistics, applied statisticians and all researchers with a good background in classical statistics who have interest in Bayesian methods will find this book useful.
Published by John Wiley and Sons Ltd, 2012
ISBN 10: 0470018232 ISBN 13: 9780470018231
Language: English
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Add to basketCondition: New. 2012. 1st Edition. Hardcover. * 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. Series: Statistics in Practice. Num Pages: 534 pages, Illustrations. BIC Classification: MBNS; PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 248 x 172 x 29. Weight in Grams: 926. . . . . .
Published by John Wiley & Sons Inc, 2012
ISBN 10: 0470018232 ISBN 13: 9780470018231
Language: English
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Add to basketHardback. Condition: New. New copy - Usually dispatched within 4 working days. 976.
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Published by John Wiley and Sons Ltd, 2012
ISBN 10: 0470018232 ISBN 13: 9780470018231
Language: English
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Condition: New. 2012. 1st Edition. Hardcover. * 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. Series: Statistics in Practice. Num Pages: 534 pages, Illustrations. BIC Classification: MBNS; PBT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 248 x 172 x 29. Weight in Grams: 926. . . . . . Books ship from the US and Ireland.
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Add to basketCondition: New. In conclusion, we consider the book by Lesaffre and Lawson a noteworthy contribution to the dissemination of Bayesian methods, and a good manual of reference for many common and some specialized applications in biomedical research. The great variety of exa.
Published by John Wiley & Sons Inc, 2010
ISBN 10: 0470018232 ISBN 13: 9780470018231
Language: English
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Add to basketHardcover. Condition: Brand New. 1st edition. 536 pages. 9.84x6.85x1.18 inches. In Stock.
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Published by Chapman and Hall/CRC 2020-02-17, 2020
ISBN 10: 113874848X ISBN 13: 9781138748484
Language: English
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Add to basketBuch. Condition: Neu. Neuware - The growth of biostatistics has been phenomenal in recent years and has been marked by considerable technical innovation in both methodology and computational practicality. One area that has experienced significant growth is Bayesian methods. The growing use of Bayesian methodology has taken place partly due to an increasing number of practitioners valuing the Bayesian paradigm as matching that of scientific discovery. In addition, computational advances have allowed for more complex models to be fitted routinely to realistic data sets.Through examples, exercises and a combination of introductory and more advanced chapters, this book provides an invaluable understanding of the complex world of biomedical statistics illustrated via a diverse range of applications taken from epidemiology, exploratory clinical studies, health promotion studies, image analysis and clinical trials.Key Features:\* Provides an authoritative account of Bayesian methodology, from its most basic elements to its practical implementation, with an emphasis on healthcare techniques.\* Contains introductory explanations of Bayesian principles common to all areas of application.\* Presents clear and concise examples in biostatistics applications such as clinical trials, longitudinal studies, bioassay, survival, image analysis and bioinformatics.\* Illustrated throughout with examples using software including WinBUGS, OpenBUGS, SAS and various dedicated R programs.\* Highlights the differences between the Bayesian and classical approaches.\* Supported by an accompanying website hosting free software and case study guides.Bayesian Biostatistics introduces the reader smoothly into the Bayesian statistical methods with chapters that gradually increase in level of complexity. Master students in biostatistics, applied statisticians and all researchers with a good background in classical statistics who have interest in Bayesian methods will find this book useful.
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Published by John Wiley and Sons Inc, US, 2012
ISBN 10: 0470018232 ISBN 13: 9780470018231
Language: English
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Add to basketHardback. Condition: New. The growth of biostatistics has been phenomenal in recent years and has been marked by considerable technical innovation in both methodology and computational practicality. One area that has experienced significant growth is Bayesian methods. The growing use of Bayesian methodology has taken place partly due to an increasing number of practitioners valuing the Bayesian paradigm as matching that of scientific discovery. In addition, computational advances have allowed for more complex models to be fitted routinely to realistic data sets. Through examples, exercises and a combination of introductory and more advanced chapters, this book provides an invaluable understanding of the complex world of biomedical statistics illustrated via a diverse range of applications taken from epidemiology, exploratory clinical studies, health promotion studies, image analysis and clinical trials. Key Features: Provides an authoritative account of Bayesian methodology, from its most basic elements to its practical implementation, with an emphasis on healthcare techniques.Contains introductory explanations of Bayesian principles common to all areas of application.Presents clear and concise examples in biostatistics applications such as clinical trials, longitudinal studies, bioassay, survival, image analysis and bioinformatics.Illustrated throughout with examples using software including WinBUGS, OpenBUGS, SAS and various dedicated R programs.Highlights the differences between the Bayesian and classical approaches.Supported by an accompanying website hosting free software and case study guides. Bayesian Biostatistics introduces the reader smoothly into the Bayesian statistical methods with chapters that gradually increase in level of complexity. Master students in biostatistics, applied statisticians and all researchers with a good background in classical statistics who have interest in Bayesian methods will find this book useful.
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