Andrew B. Lawson's Books

Disease Mapping with WinBUGS and MLwiN

By: Andrew B. Lawson,William J. Browne,Carmen L. Vidal Rodeiro

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Disease Mapping with WinBUGS and MLwiN

By: Andrew B. Lawson,William J. Browne,Carmen L. Vidal Rodeiro

Disease mapping involves the analysis of geo-referenced disease incidence data and has many applications, for example within resource allocation, cluster alarm analysis, and ecological studies. There is a real need amongst public health workers for simpler and more efficient tools for the analysis of geo-referenced disease incidence data. Bayesian and multilevel methods provide the required efficiency, and with the emergence of software packages – such as WinBUGS and MLwiN – are now easy to implement in practice. Provides an introduction to Bayesian and multilevel modelling in disease mapping. Adopts a practical approach, with many detailed worked examples. Includes introductory material on WinBUGS and MLwiN. Discusses three applications in detail – relative risk estimation, focused clustering, and ecological analysis. Suitable for public health workers and epidemiologists with a sound statistical knowledge. Supported by a Website featuring data sets and WinBUGS and MLwiN programs. Disease Mapping with WinBUGS and MLwiN provides a practical introduction to the use of software for disease mapping for researchers, practitioners and graduate students from statistics, public health and epidemiology who analyse disease incidence data.

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304

Publisher

John Wiley & Sons

Published Date

ISBN 10

0470856041

ISBN 13

9780470856048

Bayesian Disease Mapping

Hierarchical Modeling in Spatial Epidemiology, Second Edition

By: Andrew B. Lawson

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Bayesian Disease Mapping

Hierarchical Modeling in Spatial Epidemiology, Second Edition

By: Andrew B. Lawson

Since the publication of the first edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostatistical areas. Exploring these new developments, Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Second Edition provides an up-to-date, cohesive account of the full range of Bayesian disease mapping methods and applications. A biostatistics professor and WHO advisor, the author illustrates the use of Bayesian hierarchical modeling in the geographical analysis of disease through a range of real-world datasets. New to the Second Edition Three new chapters on regression and ecological analysis, putative hazard modeling, and disease map surveillance Expanded material on case event modeling and spatiotemporal analysis New and updated examples Two new appendices featuring examples of integrated nested Laplace approximation (INLA) and conditional autoregressive (CAR) models In addition to these new topics, the book covers more conventional areas such as relative risk estimation, clustering, spatial survival analysis, and longitudinal analysis. After an introduction to Bayesian inference, computation, and model assessment, the text focuses on important themes, including disease map reconstruction, cluster detection, regression and ecological analysis, putative hazard modeling, analysis of multiple scales and multiple diseases, spatial survival and longitudinal studies, spatiotemporal methods, and map surveillance. It shows how Bayesian disease mapping can yield significant insights into georeferenced health data. WinBUGS and R are used throughout for data manipulation and simulation.

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Page Count

398

Publisher

CRC Press

Published Date

ISBN 10

1466504811

ISBN 13

9781466504813

Statistical Methods in Spatial Epidemiology

By: Andrew B. Lawson

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Statistical Methods in Spatial Epidemiology

By: Andrew B. Lawson

Spatial epidemiology is the description and analysis of the geographical distribution of disease. It is more important now than ever, with modern threats such as bio-terrorism making such analysis even more complex. This second edition of Statistical Methods in Spatial Epidemiology is updated and expanded to offer a complete coverage of the analysis and application of spatial statistical methods. The book is divided into two main sections: Part 1 introduces basic definitions and terminology, along with map construction and some basic models. This is expanded upon in Part II by applying this knowledge to the fundamental problems within spatial epidemiology, such as disease mapping, ecological analysis, disease clustering, bio-terrorism, space-time analysis, surveillance and infectious disease modelling. Provides a comprehensive overview of the main statistical methods used in spatial epidemiology. Updated to include a new emphasis on bio-terrorism and disease surveillance. Emphasizes the importance of space-time modelling and outlines the practical application of the method. Discusses the wide range of software available for analyzing spatial data, including WinBUGS, SaTScan and R, and features an accompanying website hosting related software. Contains numerous data sets, each representing a different approach to the analysis, and provides an insight into various modelling techniques. This text is primarily aimed at medical statisticians, researchers and practitioners from public health and epidemiology. It is also suitable for postgraduate students of statistics and epidemiology, as well professionals working in government agencies.

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Page Count

302

Publisher

John Wiley & Sons

Published Date

ISBN 10

1118723171

ISBN 13

9781118723173

Using R for Bayesian Spatial and Spatio-Temporal Health Modeling

By: Andrew B. Lawson

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Using R for Bayesian Spatial and Spatio-Temporal Health Modeling

By: Andrew B. Lawson

Progressively more and more attention has been paid to how location affects health outcomes. The area of disease mapping focusses on these problems, and the Bayesian paradigm has a major role to play in the understanding of the complex interplay of context and individual predisposition in such studies of disease. Using R for Bayesian Spatial and Spatio-Temporal Health Modeling provides a major resource for those interested in applying Bayesian methodology in small area health data studies. Features: Review of R graphics relevant to spatial health data Overview of Bayesian methods and Bayesian hierarchical modeling as applied to spatial data Bayesian Computation and goodness-of-fit Review of basic Bayesian disease mapping models Spatio-temporal modeling with MCMC and INLA Special topics include multivariate models, survival analysis, missing data, measurement error, variable selection, individual event modeling, and infectious disease modeling Software for fitting models based on BRugs, Nimble, CARBayes and INLA Provides code relevant to fitting all examples throughout the book at a supplementary website The book fills a void in the literature and available software, providing a crucial link for students and professionals alike to engage in the analysis of spatial and spatio-temporal health data from a Bayesian perspective using R. The book emphasizes the use of MCMC via Nimble, BRugs, and CARBAyes, but also includes INLA for comparative purposes. In addition, a wide range of packages useful in the analysis of geo-referenced spatial data are employed and code is provided. It will likely become a key reference for researchers and students from biostatistics, epidemiology, public health, and environmental science.

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Page Count

300

Publisher

CRC Press

Published Date

ISBN 10

1000376702

ISBN 13

9781000376708

Bayesian Biostatistics

By: Emmanuel Lesaffre,Andrew B. Lawson

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Bayesian Biostatistics

By: Emmanuel Lesaffre,Andrew B. Lawson

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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Page Count

544

Publisher

John Wiley & Sons

Published Date

ISBN 10

1118314573

ISBN 13

9781118314579

Andrew Strauss: Coming into Play - My Life in Test Cricket

An incredible rise of prominence in Test cricket

By: Andrew Strauss

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Andrew Strauss: Coming into Play - My Life in Test Cricket

An incredible rise of prominence in Test cricket

By: Andrew Strauss

On May 21, 2004, playing against New Zealand, Andrew Strauss wrote his name into the record books when he became only the fourth batsman to score a century at Lord's on his Test debut. He made 112 in the first innings and was only denied a historical second hundred when he was run out on 83 by Nasser Hussain. England went on to beat New Zealand 3-0 before returning to headquarters to welcome the West Indies, Strauss scoring 137 as the hosts laid the foundations for another whitewash. He then raised the bar again when touring the country of his birth, making three centuries in England's first win in South Africa in 40 years. This sensational start to his international career has ensured that he has been celebrated as a world-class opening batsman, and was voted Wisden's Cricketer of the Year 2005. In THE STORY SO FAR, Andrew Strauss looks back on his early cricketing days and astounding first year in Test cricket, and gives the inside story on what it is like to be part of an incredible England side fighting to overtake Australia as the number one cricketing nation. THE STORY SO FAR also includes his personal story of how England beat Australia in the 2005 Ashes Series, in which he played a major part.

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Page Count

155

Publisher

Hodder & Stoughton

Published Date

ISBN 10

1444709127

ISBN 13

9781444709124

Cricket's Strangest Matches

Extraordinary but true stories from over a century of cricket

By: Andrew Ward

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Cricket's Strangest Matches

Extraordinary but true stories from over a century of cricket

By: Andrew Ward

Cricket’s Strangest Tales is a fascinating collection of cricketing weirdness – and there’s a lot of it to choose from! Within these pages you’ll find a game that was played on ice, meet a plague of flying ants who failed to dampen players’ enthusiasm, and examples of the grand old tradition of one-armed teams versus one-legged teams. The stories in this book are bizarre, fascinating, hilarious, and, most importantly, true. Fully revised, redesigned and updated with a selection of new material for 2016, this book is the perfect gift for the cricket fanatic in your life. Word count: 45,000 words

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Page Count

217

Publisher

Portico

Published Date

ISBN 10

1911042408

ISBN 13

9781911042402

Bayesian Disease Mapping

Hierarchical Modeling in Spatial Epidemiology, Third Edition

By: Andrew B. Lawson

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Bayesian Disease Mapping

Hierarchical Modeling in Spatial Epidemiology, Third Edition

By: Andrew B. Lawson

Since the publication of the second edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostatistical areas. Exploring these new developments, Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Third Edition provides an up-to-date, cohesive account of the full range of Bayesian disease mapping methods and applications. In addition to the new material, the book also covers more conventional areas such as relative risk estimation, clustering, spatial survival analysis, and longitudinal analysis. After an introduction to Bayesian inference, computation, and model assessment, the text focuses on important themes, including disease map reconstruction, cluster detection, regression and ecological analysis, putative hazard modeling, analysis of multiple scales and multiple diseases, spatial survival and longitudinal studies, spatiotemporal methods, and map surveillance. It shows how Bayesian disease mapping can yield significant insights into georeferenced health data. The target audience for this text is public health specialists, epidemiologists, and biostatisticians who need to work with geo-referenced health data.

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464

Publisher

CRC Press

Published Date

ISBN 10

135127175X

ISBN 13

9781351271752

Bayesian Disease Mapping

Hierarchical Modeling in Spatial Epidemiology, Second Edition

By: Andrew B. Lawson

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Bayesian Disease Mapping

Hierarchical Modeling in Spatial Epidemiology, Second Edition

By: Andrew B. Lawson

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Page Count

398

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CRC Press

Published Date

ISBN 10

1466504811

ISBN 13

9781466504813

Bayesian Disease Mapping

Hierarchical Modeling in Spatial Epidemiology, Third Edition

By: Andrew B. Lawson

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Bayesian Disease Mapping

Hierarchical Modeling in Spatial Epidemiology, Third Edition

By: Andrew B. Lawson

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464

Publisher

Chapman & Hall/CRC

Published Date

ISBN 10

1351271768

ISBN 13

9781351271769

Disease Mapping with WinBUGS and MLwiN

By: Andrew B. Lawson,William J. Browne,Carmen L. Vidal Rodeiro

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Disease Mapping with WinBUGS and MLwiN

By: Andrew B. Lawson,William J. Browne,Carmen L. Vidal Rodeiro

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Page Count

304

Publisher

John Wiley & Sons

Published Date

ISBN 10

0470856041

ISBN 13

9780470856048

Book's by Andrew B. Lawson

Disease Mapping with WinBUGS and MLwiN

Disease Mapping with WinBUGS and MLwiN

Bayesian Disease Mapping

Bayesian Disease Mapping

Statistical Methods in Spatial Epidemiology

Statistical Methods in Spatial Epidemiology

Using R for Bayesian Spatial and Spatio-Temporal Health Modeling

Using R for Bayesian Spatial and Spatio-Temporal Health Modeling

Bayesian Biostatistics

Bayesian Biostatistics

Andrew Strauss: Coming into Play - My Life in Test Cricket

Andrew Strauss: Coming into Play - My Life in Test Cricket

Cricket's Strangest Matches

Cricket's Strangest Matches

Bayesian Disease Mapping

Bayesian Disease Mapping

Bayesian Disease Mapping

Bayesian Disease Mapping

Bayesian Disease Mapping

Bayesian Disease Mapping

Disease Mapping with WinBUGS and MLwiN

Disease Mapping with WinBUGS and MLwiN

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