Andrew B. (Medical University of South Carolina, Charleston, USA) Lawson 
Bayesian Disease Mapping [EPUB ebook] 
Hierarchical Modeling in Spatial Epidemiology, Third Edition

支持

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.

€61.50
支付方式
购买此电子书可免费获赠一本!
格式 EPUB ● 网页 486 ● ISBN 9781351271745 ● 出版者 CRC Press ● 发布时间 2018 ● 下载 3 时 ● 货币 EUR ● ID 6547346 ● 复制保护 Adobe DRM
需要具备DRM功能的电子书阅读器

来自同一作者的更多电子书 / 编辑

32,977 此类电子书