Bayesian Disease Mapping ― Hierarchical Modeling in Spatial Epidemiology

系列名：Chapman & Hall/Crc Interdisciplinary Statistics
ISBN13：9781138575424
出版社：Chapman & Hall
作者：Andrew B. Lawson
裝訂／頁數：精裝／512頁
規格：24.1cm*15.9cm*3.2cm (高/寬/厚)
版次：3
出版日：2018/05/17
關鍵字： Bayesian Disease Mapping ― Hierarchical Modeling in Spatial Epidemiology、 Bayesian、 Disease、 Mapping、 Hierarchical、 Modeling、 in、 Spatial、 Epidemiology、 Chapman & Hall、 Andrew B. Lawson、外文書、自然科普、數學、 Incidence & prevention of disease、

杜威圖書分類： Incidence & prevention of disease

定價：NT$ 8250 元

優惠價：90 折 7425 元

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商品簡介

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.

作者簡介

Andrew B. Lawson is a professor of biostatistics and eminent scholar in the Division of Biostatistics and Epidemiology in the College of Medicine at the Medical University of South Carolina. He is an ASA fellow and an advisor in disease mapping and risk assessment for the World Health Organization. Dr. Lawson has published over 100 journal papers and eight books and is the founding editor of Spatial and Spatio-temporal Epidemiology. He received a PhD in spatial statistics from the University of St. Andrews. His research interests include the analysis of clustered disease maps, spatial and spatio-temporal disease surveillance, nutritional measurement error, and Bayesian latent variable and SEM modeling.