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Aggiungi al carrelloHardcover. Condizione: As New. 1st Edition. Like new. Unmarked. VG+ 516pp.
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Aggiungi al carrelloHardcover. Condizione: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Da: Best Price, Torrance, CA, U.S.A.
EUR 56,14
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
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Da: California Books, Miami, FL, U.S.A.
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EUR 68,44
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Da: Majestic Books, Hounslow, Regno Unito
EUR 64,83
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EUR 69,82
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Aggiungi al carrelloCondizione: New. pp. 536 Index 1st Edition.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 61,57
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EUR 62,72
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EUR 69,82
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Aggiungi al carrelloCondizione: New. pp. 536 Illus.
Da: Chiron Media, Wallingford, Regno Unito
EUR 58,72
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Aggiungi al carrelloPaperback. Condizione: New.
EUR 61,56
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Da: Books Puddle, New York, NY, U.S.A.
EUR 77,90
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Aggiungi al carrelloCondizione: New. 1st edition NO-PA16APR2015-KAP.
EUR 74,33
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Aggiungi al carrelloCondizione: New. pp. 536.
Da: Open Books, Chicago, IL, U.S.A.
EUR 83,41
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Aggiungi al carrellohardcover. Condizione: 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.
Editore: John Wiley and Sons Inc, US, 2012
ISBN 10: 0470018232 ISBN 13: 9780470018231
Lingua: Inglese
Da: Rarewaves.com USA, London, LONDO, Regno Unito
EUR 90,28
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Aggiungi al carrelloHardback. Condizione: 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.
EUR 70,92
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Aggiungi al carrelloHardback. Condizione: New. New copy - Usually dispatched within 4 working days. 976.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 79,71
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 81,17
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Aggiungi al carrelloCondizione: 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. . . . . .
EUR 100,84
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Aggiungi al carrelloCondizione: New. Brand new! Please provide a physical shipping address.
EUR 100,56
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Aggiungi al carrelloCondizione: 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.
EUR 68,71
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Aggiungi al carrelloCondizione: 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.
EUR 117,80
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
EUR 115,40
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Aggiungi al carrelloHardcover. Condizione: Brand New. 1st edition. 536 pages. 9.84x6.85x1.18 inches. In Stock.
Editore: Chapman and Hall/CRC 2020-02-17, 2020
ISBN 10: 113874848X ISBN 13: 9781138748484
Lingua: Inglese
Da: Chiron Media, Wallingford, Regno Unito
EUR 129,05
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Aggiungi al carrelloHardcover. Condizione: New.
EUR 86,93
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Aggiungi al carrelloBuch. Condizione: 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.
Editore: John Wiley and Sons Inc, US, 2012
ISBN 10: 0470018232 ISBN 13: 9780470018231
Lingua: Inglese
Da: Rarewaves.com UK, London, Regno Unito
EUR 83,87
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Aggiungi al carrelloHardback. Condizione: 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.