|Listed in category:
This item is out of stock.
Have one to sell?

Bayesian Biostatistics (Statistics ..., Lawson, Andrew

US $38.99
ApproximatelyC $53.88
Condition:
Very Good
Shipping:
Free USPS Media MailTM.
Located in: Montgomery Illinois, United States
Delivery:
Estimated between Tue, Aug 19 and Fri, Aug 22 to 94104
Delivery time is estimated using our proprietary method which is based on the buyer's proximity to the item location, the shipping service selected, the seller's shipping history, and other factors. Delivery times may vary, especially during peak periods.
Returns:
30 days return. Seller pays for return shipping.
Payments:
     Diners Club

Shop with confidence

eBay Money Back Guarantee
Get the item you ordered or your money back. Learn moreeBay Money Back Guarantee - opens new window or tab
Seller assumes all responsibility for this listing.
eBay item number:276965842534
Last updated on Jun 13, 2025 16:48:56 EDTView all revisionsView all revisions

Item specifics

Condition
Very Good: A book that does not look new and has been read but is in excellent condition. No obvious ...
Book Title
Bayesian Biostatistics (Statistics in Practice)
ISBN
0470018232
EAN
9780470018231
Release Title
Bayesian Biostatistics (Statistics in Practice)
Artist
Lawson, Andrew B.
Brand
N/A
Colour
N/A

About this product

Product Identifiers

Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0470018232
ISBN-13
9780470018231
eBay Product ID (ePID)
63114419

Product Key Features

Number of Pages
544 Pages
Language
English
Publication Name
Bayesian Biostatistics
Subject
Biostatistics, Life Sciences / Biology, Probability & Statistics / Bayesian Analysis
Publication Year
2012
Type
Textbook
Subject Area
Mathematics, Science, Medical
Author
Andrew B. Lawson, Emmanuel Lesaffre
Series
Statistics in Practice Ser.
Format
Hardcover

Dimensions

Item Height
1.3 in
Item Weight
36.1 Oz
Item Length
9.8 in
Item Width
6.7 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2012-004237
Reviews
"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)
Illustrated
Yes
Synopsis
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., 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., 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., 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 www.wiley.com/go/bayesian-methods-biostatistics 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.
LC Classification Number
QH323.5

Item description from the seller

About this seller

worldofbooksinc

97.7% positive feedback1.2M items sold

Joined Feb 2020
Usually responds within 24 hours
In 2002, World of Books Group was founded on an ethos to do good, protect the planet and support charities by enabling more goods to be reused. Since then, we've grown into to a global company ...
See more

Detailed seller ratings

Average for the last 12 months
Accurate description
4.8
Reasonable shipping cost
5.0
Shipping speed
5.0
Communication
5.0

Seller feedback (273,340)

All ratings
Positive
Neutral
Negative
    • n***a (58)- Feedback left by buyer.
      Past month
      Verified purchase
      Book in perfect condition, fast shippjng.
    See all feedback