Tools

LEADER 03516nam 22005658i 4500

001 ssj0002487979;

003 WaSeSS;

005 20251212090320.0;

006 m d ;

007 cr n ;

008 201114s2021 flu sb 001 0 eng d;

010 a| 2020049394;

020 a| 9780367490126q| (hardback);

020 a| 9780367760670q| (paperback);

020 z| 9781003043997q| (ebook);

035 a| (WaSeSS)ssj0002487979;

040 a| LBSOR/DLCb| engc| DLCd| WaSeSS;

042 a| pcc;

049 a| EREEa| NEHH;

050 00 a| RA409.5b| .L38 2021;

082 00 a| 610.2/12| 23;

100 1 a| Lawson, Andrewq| (Andrew B.)=| ^A478143;

245 10 a| Using R for Bayesian spatial and spatio-temporal health modelingh| [electronic resource] /c| Andrew B. Lawson.;

250 a| First edition.;

260 a| Boca Raton :b| CRC Press,c| 2021.;

263 a| 2104;

300 a| pages cm;

504 a| Includes bibliographical references and index.;

505 0 a| Introduction and data sets -- R graphics and spatial health data -- Bayesian hierarchical models -- Computation -- Bayesian model goodness of fit criteria -- Bayesian disease mapping models -- BRugs/OpenBUGS -- Nimble -- CARBayes -- INLA and R-INLA -- Clustering, latent variable and mixture modeling -- Spatio-temporal modeling with MCMC -- Spatio-temporal modeling with INLA -- Multivariate models -- Survival modeling -- Missingness, measurement error and variable selection -- Individual event modeling -- Infectious disease modeling.;

506 a| Available only to authorized users.;

520 a| "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"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

650 0 a| Medical statisticsx| Data processing.=| ^A1378;

650 0 a| Medical mappingx| Data processing.=| ^A1096760;

650 0 a| Medical statisticsx| Computer programs.=| ^A311203;

650 0 a| Geospatial datax| Computer processing.=| ^A1484835;

650 0 a| Geographic information systems.=| ^A254808;

650 0 a| Information modelingx| Simulation methods.=| ^A473577;

650 0 a| R (Computer program language)=| ^A523882;

650 0 a| Bayesian statistical decision theory.=| ^A20878;

655 0 a| Electronic books.=| ^A491897;

856 40 z| Full text available from Taylor & Francis eBooksu| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Fwww.taylorfrancis.com%2Fbooks%2F9781003043997;

949 a| CLICK ON WEB ADDRESSw| ASISh| JOYNER188;

949 a| CLICK ON WEB ADDRESSw| ASISh| HSL77;

949 a| CLICK ON WEB ADDRESSw| ASISh| JMUSIC60;

596 a| 1 3 4;

998 a| 6691385;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6691385-1001l| JNETm| JOYNERr| Ys| Yt| JNESSBKu| 12/19/2025x| EBOOKz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6691385-2001l| HSLELECm| HSLr| Ys| Yt| HEBKu| 12/19/2025x| EBOOKz| HERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6691385-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 12/19/2025x| EBOOKz| JERESOURCE;

Using R for Bayesian spatial and spatio-temporal health modeling / Andrew B. Lawson.

Author/creator	Lawson, Andrew
Format	Electronic
Edition	First edition.
Publication Info	Boca Raton : CRC Press, 2021.
Description	pages cm
Supplemental Content	Full text available from Taylor & Francis eBooks
Subjects	Medical statistics--Data processing. Medical mapping--Data processing. Medical statistics--Computer programs. Geospatial data--Computer processing. Geographic information systems. Information modeling--Simulation methods. R (Computer program language) Bayesian statistical decision theory.

Contents	Introduction and data sets -- R graphics and spatial health data -- Bayesian hierarchical models -- Computation -- Bayesian model goodness of fit criteria -- Bayesian disease mapping models -- BRugs/OpenBUGS -- Nimble -- CARBayes -- INLA and R-INLA -- Clustering, latent variable and mixture modeling -- Spatio-temporal modeling with MCMC -- Spatio-temporal modeling with INLA -- Multivariate models -- Survival modeling -- Missingness, measurement error and variable selection -- Individual event modeling -- Infectious disease modeling.
Abstract	"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"-- Provided by publisher.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2020049394
ISBN	9780367490126 (hardback)
ISBN	9780367760670 (paperback)
ISBN	(ebook)

Using R for Bayesian spatial and spatio-temporal health modeling / Andrew B. Lawson.

Click here for more information about this title