Bayesian Biostatistics (Statistics in Practice)

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9780470018231: Bayesian Biostatistics (Statistics in Practice)
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"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 examples and topics covered offers both advantages and disadvantages. Some parts might be too specialized for statistics students, but lecturers and applied statisticians will benefit a lot from the authors' wealth of experience." ( Biometrical Journal , 15 July 2013) " The book Bayesian Biostatisticsby Lesaffre and Lawson, is a welcoming addition to this important area of research in biostatistical applications. For example, in the area of clinical trials, Bayesian methods provide flexibility and benefits for incorporating historical data with current data and then using the resulting posterior to make probability statements for different outcomes ". ( Journal of Biopharmaceutical Statistics , 1 January 2013)

Reseña del editor:

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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1.

Andrew B. Lawson, Emmanuel Lesaffre
Editorial: John Wiley and Sons Ltd, United States (2012)
ISBN 10: 0470018232 ISBN 13: 9780470018231
Nuevos Tapa dura Primera edición Cantidad: 10
Librería
The Book Depository
(London, Reino Unido)
Valoración
[?]

Descripción John Wiley and Sons Ltd, United States, 2012. Hardback. Estado de conservación: New. 1. Auflage. 246 x 170 mm. Language: English . Brand New Book. 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. Nº de ref. de la librería AAH9780470018231

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2.

Andrew B. Lawson, Emmanuel Lesaffre
Editorial: John Wiley and Sons Ltd, United States (2012)
ISBN 10: 0470018232 ISBN 13: 9780470018231
Nuevos Tapa dura Primera edición Cantidad: 10
Librería
The Book Depository US
(London, Reino Unido)
Valoración
[?]

Descripción John Wiley and Sons Ltd, United States, 2012. Hardback. Estado de conservación: New. 1. Auflage. 246 x 170 mm. Language: English . Brand New Book. 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. Nº de ref. de la librería AAH9780470018231

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Emmanuel Lesaffre
ISBN 10: 0470018232 ISBN 13: 9780470018231
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Descripción Estado de conservación: New. Brand New. US Edition Book. We do not ship to Military Addresses. Fast Shipping with Order Tracking. For Standard Shipping 7-8 business days & Expedite Shipping 4-6 business days, after shipping. Nº de ref. de la librería 0470018232-RMX

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4.

Emmanuel Lesaffre, Andrew B. Lawson
Editorial: Wiley-Blackwell 2012-07-27 (2012)
ISBN 10: 0470018232 ISBN 13: 9780470018231
Nuevos Tapa dura Cantidad: 3
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Chiron Media
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Descripción Wiley-Blackwell 2012-07-27, 2012. Hardcover. Estado de conservación: New. Nº de ref. de la librería NU-GRD-04885877

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Emmanuel Lesaffre
Editorial: Wiley 2012-07-27, Chichester (2012)
ISBN 10: 0470018232 ISBN 13: 9780470018231
Nuevos Tapa dura Cantidad: 1
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Blackwell's
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Descripción Wiley 2012-07-27, Chichester, 2012. hardback. Estado de conservación: New. Nº de ref. de la librería 9780470018231

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Andrew B. Lawson, Emmanuel Lesaffre
Editorial: John Wiley and Sons Ltd
ISBN 10: 0470018232 ISBN 13: 9780470018231
Nuevos Tapa dura Cantidad: 3
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THE SAINT BOOKSTORE
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Descripción John Wiley and Sons Ltd. Hardback. Estado de conservación: new. BRAND NEW, Bayesian Biostatistics, Andrew B. Lawson, Emmanuel Lesaffre, 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. Nº de ref. de la librería B9780470018231

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Emmanuel Lesaffre; Andrew B. Lawson
ISBN 10: 0470018232 ISBN 13: 9780470018231
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Descripción Estado de conservación: New. Bookseller Inventory # ST0470018232. Nº de ref. de la librería ST0470018232

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Emmanuel Lesaffre
Editorial: Wileyand#8211;Blackwell (2012)
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Descripción Wileyand#8211;Blackwell, 2012. HRD. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería FW-9780470018231

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Emmanuel Lesaffre (The Netherlands & K.U. Leuven, Leuven, Belgium); Andrew B. Lawson (Medical University of South Carolina, USA)
Editorial: John Wiley and Sons
ISBN 10: 0470018232 ISBN 13: 9780470018231
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Descripción John Wiley and Sons. Estado de conservación: New. Brand New. Nº de ref. de la librería 0470018232

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Lesaffre Emmanuel Et. Al.
ISBN 10: 0470018232 ISBN 13: 9780470018231
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firstbookstore
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Descripción Estado de conservación: Brand New. Brand New Original US Edition, Perfect Condition. Printed in English. Excellent Quality, Service and customer satisfaction guaranteed!. Nº de ref. de la librería AIND-18564

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