Model-based geostatistics for global public health :
نام عام مواد
[Book]
ساير اطلاعات عنواني
methods and applications /
نام نخستين پديدآور
Peter J. Diggle, Emanuele Giorgi.
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
Boca Raton :
نام ناشر، پخش کننده و غيره
Chapman & Hall/CRC,
تاریخ نشرو بخش و غیره
2018.
مشخصات ظاهری
نام خاص و کميت اثر
1 online resource (1 volume)
فروست
عنوان فروست
Chapman & Hall/CRC interdisciplinary statistics series
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
Model-based Geostatistics for Global Public Health: Methods and Applications provides an introductory account of model-based geostatistics, its implementation in open-source 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. Model-based geostatistics uses explicit probability models and established principles of statistical inference to address questions of this kind. Features: Presents state-of-the-art methods in model-based geostatistics. Discusses the application these methods some of the most challenging global public health problems including disease mapping, exposure mapping and environmental epidemiology. Describes 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 issues. Includes a range of more complex geostatistical problems where research is ongoing. All of the results in the book are reproducible using publicly available R code and data-sets, as well as a dedicated R package. This book has been written to be accessible not only to statisticians but also to students and researchers in the public health sciences. The Authors Peter 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 2015. His research interests involve the development of novel geostatistical methods for disease mapping, with a special focus on malaria and other tropical diseases. In 2018, Dr 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.
یادداشتهای مربوط به سفارشات
منبع سفارش / آدرس اشتراک
Ingram Content Group
شماره انبار
9781351743266
ویراست دیگر از اثر در قالب دیگر رسانه
عنوان
Model-based geostatistics for global public health.
شماره استاندارد بين المللي کتاب و موسيقي
9781138732353
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Geology-- Statistical methods.
موضوع مستند نشده
Public health-- Research-- Statistical methods.
موضوع مستند نشده
Geology-- Statistical methods.
موضوع مستند نشده
MATHEMATICS / Probability & Statistics / General
موضوع مستند نشده
POLITICAL SCIENCE / Public Policy / Social Security
موضوع مستند نشده
POLITICAL SCIENCE / Public Policy / Social Services & Welfare
موضوع مستند نشده
Public health-- Research-- Statistical methods.
موضوع مستند نشده
TECHNOLOGY / Remote Sensing
مقوله موضوعی
موضوع مستند نشده
MAT-- 029000
موضوع مستند نشده
POL-- 019000
موضوع مستند نشده
POL-- 027000
موضوع مستند نشده
RBGK
موضوع مستند نشده
TEC-- 036000
رده بندی ديویی
شماره
362
.
10727
ويراست
23
رده بندی کنگره
شماره رده
RA440
.
85
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )