{"product_id":"disease-mapping-with-winbugs-and-mlwin-hardback-9780470856048","title":"Disease Mapping with WinBUGS and MLwiN (Hardback) 9780470856048","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eDisease Mapping with WinBUGS and MLwiN\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eAndrew B. Lawson (Author), William J. Browne (Author), Carmen L. Vidal Rodeiro (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780470856048, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 8 August 2003\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e296 pages\u003cbr\u003e23 x 16.2 x 2.2 cm, 0.567 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e\"…written at a level that will be readily accessible to anyone with a modest background in applied statistics.\" (\u003ci\u003eTechnometrics\u003c\/i\u003e, February 2005)  \u003cp\u003e\"The book certainly is a nice addition to my disease mapping books. The book is equally useful for the undergraduate and graduate students as well as public health professionals. (\u003ci\u003eE-STREAMS\u003c\/i\u003e, July 2004)\u003c\/p\u003e \u003cp\u003e“…a good guide and a useful addition for any graduate statistician or epidemiologist…” (\u003ci\u003eStatistical Methods in Medical Research\u003c\/i\u003e, No.13 2004)\u003c\/p\u003e \u003cp\u003e\"...outlines the models used in statistical disease mapping, and gives details of how the models can be implemented using two packages...\" (\u003ci\u003eShort Book Reviews\u003c\/i\u003e, Vol.24, No.3)\u003c\/p\u003e \u003cp\u003e\"Readers… will greatly profit from this book\" \u003ci\u003e(International Society of Clinical Biostatistics Dec 2005)\u003c\/i\u003e\u003c\/p\u003e\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eDisease 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.  \u003cul\u003e \u003cli\u003eProvides an introduction to Bayesian and multilevel modelling in disease mapping.\u003c\/li\u003e \u003cli\u003eAdopts a practical approach, with many detailed worked examples.\u003c\/li\u003e \u003cli\u003eIncludes introductory material on WinBUGS and MLwiN.\u003c\/li\u003e \u003cli\u003eDiscusses three applications in detail – relative risk estimation, focused clustering, and ecological analysis.\u003c\/li\u003e \u003cli\u003eSuitable for public health workers and epidemiologists with a sound statistical knowledge.\u003c\/li\u003e \u003cli\u003eSupported by a Website featuring data sets and WinBUGS and MLwiN programs.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eDisease Mapping with WinBUGS and MLwiN\u003c\/i\u003e  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.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePreface.  \u003cp\u003eNotation.\u003c\/p\u003e \u003cp\u003e0.1 Standard notation for multilevel modelling.\u003c\/p\u003e \u003cp\u003e0.2 Spatial multiple-membership models and the MMMC notation.\u003c\/p\u003e \u003cp\u003e0.3 Standard notation for WinBUGS models.\u003c\/p\u003e \u003cp\u003e1. Disease mapping basics.\u003c\/p\u003e \u003cp\u003e1.1 Disease mapping and map reconstruction.\u003c\/p\u003e \u003cp\u003e1.2 Disease map restoration.\u003c\/p\u003e \u003cp\u003e2. Bayesian hierarchical modelling.\u003c\/p\u003e \u003cp\u003e2.1 Likelihood and posterior distributions.\u003c\/p\u003e \u003cp\u003e2.2 Hierarchical models.\u003c\/p\u003e \u003cp\u003e2.3 Posterior inference.\u003c\/p\u003e \u003cp\u003e2.4 Markov chain Monte Carlo methods.\u003c\/p\u003e \u003cp\u003e2.5 Metropolis and Metropolis–Hastings algorithms.\u003c\/p\u003e \u003cp\u003e2.6 Residuals and goodness of fit.\u003c\/p\u003e \u003cp\u003e3. Multilevel modelling.\u003c\/p\u003e \u003cp\u003e3.1 Continuous response models.\u003c\/p\u003e \u003cp\u003e3.2 Estimation procedures for multilevel models.\u003c\/p\u003e \u003cp\u003e3.3 Poisson response models.\u003c\/p\u003e \u003cp\u003e3.4 Incorporating spatial information.\u003c\/p\u003e \u003cp\u003e3.5 Discussion.\u003c\/p\u003e \u003cp\u003e4. WinBUGS basics.\u003c\/p\u003e \u003cp\u003e4.1 About WinBUGS.\u003c\/p\u003e \u003cp\u003e4.2 Start using WinBUGS.\u003c\/p\u003e \u003cp\u003e4.3 Specification of the model.\u003c\/p\u003e \u003cp\u003e4.4 Model fitting.\u003c\/p\u003e \u003cp\u003e4.5 Scripts.\u003c\/p\u003e \u003cp\u003e4.6 Checking convergence.\u003c\/p\u003e \u003cp\u003e4.7 Spatial modelling: GeoBUGS.\u003c\/p\u003e \u003cp\u003e4 .8 Conclusions.\u003c\/p\u003e \u003cp\u003e5. MLwiN basics.\u003c\/p\u003e \u003cp\u003e5.1 About MLwiN.\u003c\/p\u003e \u003cp\u003e5.2 Getting started.\u003c\/p\u003e \u003cp\u003e5.3 Fitting statistical models.\u003c\/p\u003e \u003cp\u003e5.4 MCMC estimation in MLwiN.\u003c\/p\u003e \u003cp\u003e5.5 Spatial modelling.\u003c\/p\u003e \u003cp\u003e5.6 Conclusions.\u003c\/p\u003e \u003cp\u003e6. Relative risk estimation.\u003c\/p\u003e \u003cp\u003e6.1 Relative risk estimation using WinBUGS.\u003c\/p\u003e \u003cp\u003e6.2 Spatial prediction.\u003c\/p\u003e \u003cp\u003e6.3 An analysis of the Ohio dataset using MLwiN.\u003c\/p\u003e \u003cp\u003e7. Focused clustering: the analysis of putative health hazards.\u003c\/p\u003e \u003cp\u003e7.1 Introduction.\u003c\/p\u003e \u003cp\u003e7.2 Study design.\u003c\/p\u003e \u003cp\u003e7.3 Problems of inference.\u003c\/p\u003e \u003cp\u003e7.4 Modelling the hazard exposure risk.\u003c\/p\u003e \u003cp\u003e7.5 Models for count data.\u003c\/p\u003e \u003cp\u003e7.6 Bayesian models.\u003c\/p\u003e \u003cp\u003e7.7 Focused clustering in WinBUGS.\u003c\/p\u003e \u003cp\u003e7.8 Focused clustering in MLwiN.\u003c\/p\u003e \u003cp\u003e8. Ecological analysis.\u003c\/p\u003e \u003cp\u003e8.1 Introduction.\u003c\/p\u003e \u003cp\u003e8.2 Statistical models.\u003c\/p\u003e \u003cp\u003e8.3 WinBUGS analyses of ecological datasets.\u003c\/p\u003e \u003cp\u003e8.4 MLwiN analyses of ecological datasets.\u003c\/p\u003e \u003cp\u003e9. Spatially-correlated survival analysis.\u003c\/p\u003e \u003cp\u003e9.1 Survival analysis in WinBUGS.\u003c\/p\u003e \u003cp\u003e9.2 Survival analysis in MLwiN.\u003c\/p\u003e \u003cp\u003e10. Epilogue.\u003c\/p\u003e \u003cp\u003eAppendix 1: WinBUGS code for focused clustering models.\u003c\/p\u003e \u003cp\u003eA.1: Falkirk example.\u003c\/p\u003e \u003cp\u003eA.2: Ohio example.\u003c\/p\u003e \u003cp\u003eAppendix 2: S-Plus function for conversion to GeoBUGS format.\u003c\/p\u003e \u003cp\u003eBibliography.\u003c\/p\u003e \u003cp\u003eIndex.\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Mathematics [\u003ca title=\"See our other books on Mathematics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Mathematics%20%5BPB%5D%22\"\u003ePB\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley","offers":[{"title":"Brand New","offer_id":52278040396056,"sku":"9780470856048","price":76.99,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9780470856048.jpg?v=1781457422","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/disease-mapping-with-winbugs-and-mlwin-hardback-9780470856048","provider":"Freshly Printed Books","version":"1.0","type":"link"}