[PDF / Epub] ☃ Model-Based Geostatistics for Global Public Health Author Peter J. Diggle – Bluevapours.co.uk Modelbased Geostatistics for Global Public Health Methods and Applications provides an introductory account of modelbased geostatistics its implementation in opensource software and its application in Modelbased Geostatistics for Global Public Health Methods for Global ePUB ¹ and Applications provides an introductory account of modelbased geostatistics its implementation in opensource software and its application in public health research In the public health problems that are the focus of this book the authors describe and explain the pattern of spatial variation in a health outcome or exposure measurement of interest Modelbased geostatistics uses explicit probability models and established principles of statistical inference to address uestions of this kindFeatures Presents stateoftheart methods in modelbased geostatisticsDiscusses the application these methods Model-Based Geostatistics Epub / some of the most challenging global public health problems including disease mapping exposure mapping and environmental epidemiologyDescribes exploratory methods for analysing geostatistical data including diagnostic checking of residuals standard linear and generalized linear models; variogram analysis; Gaussian process models and geostatistical design issuesIncludes a range ofcomplex geostatistical problems where research is ongoingAll of the results in the book are reproducible using publicly available R code and datasets as well as a dedicated R packageThis book has been written to be accessible not only to statisticians but also to Geostatistics for Global PDF/EPUB ¾ students and researchers in the public health sciences The AuthorsPeter Diggle is Distinguished University Professor of Statistics in the Faculty of Health and Medicine Lancaster University He also holds honorary positions at the Johns Hopkins University School of Public Health Columbia University International Research Institute for Climate and Society and Yale University School of Public Health His research involves the development of statistical methods for analyzing spatial and longitudinal data and their applications in the biomedical and health sciences Dr Emanuele Giorgi is a Lecturer in Biostatistics and member of the CHICAS research group at Lancaster University where he formerly obtained a PhD in Statistics and Epidemiology in His research interests involve the development of novel geostatistical methods for disease mapping with a special focus on malaria and other tropical diseases InDr Giorgi was awarded the Royal Statistical Society Research Prize for outstanding published contribution at the interface of statistics and epidemiology He is also the lead developer of PrevMap an R package where all the methodology found in this book has been implemented.
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- 248 pages
- Model-Based Geostatistics for Global Public Health
- Peter J. Diggle
- 11 August 2015 Peter J. Diggle