Using R for Bayesian Spatial and Spatio-Temporal Health Modeling
暫譯: 使用 R 進行貝葉斯空間及時空健康模型分析

Lawson, Andrew B.

Using R for Bayesian Spatial and Spatio-Temporal Health Modeling
  • 出版商: CRC
  • 出版日期: 2021-04-29
  • 售價: $5,470
  • 貴賓價: 9.5 折 $5,197
  • 語言: 英文
  • 頁數: 300
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 0367490129
  • ISBN-13: 9780367490126
  • 相關分類: R 語言、機率統計學 Probability-and-statistics

    • 海外代購書籍(需單獨結帳)

商品描述

Progressively more and more attention has been paid to how location affects health outcomes. The area of disease mapping focusses on these problems, and the Bayesian paradigm has a major role to play in the understanding of the complex interplay of context and individual predisposition in such studies of disease. Using R for Bayesian Spatial and Spatio-Temporal Health Modeling provides a major resource for those interested in applying Bayesian methodology in small area health data studies.

Features:

  • Review of R graphics relevant to spatial health data

  • Overview of Bayesian methods and Bayesian hierarchical modeling as applied to spatial data

  • Bayesian Computation and goodness-of-fit

  • Review of basic Bayesian disease mapping models

  • Spatio-temporal modeling with MCMC and INLA

  • Special topics include multivariate models, survival analysis, missing data, measurement error, variable selection, individual event modeling, and infectious disease modeling

  • Software for fitting models based on BRugs, Nimble, CARBayes and INLA

  • Provides code relevant to fitting all examples throughout the book at a supplementary website

The book fills a void in the literature and available software, providing a crucial link for students and professionals alike to engage in the analysis of spatial and spatio-temporal health data from a Bayesian perspective using R. The book emphasizes the use of MCMC via Nimble, BRugs, and CARBAyes, but also includes INLA for comparative purposes. In addition, a wide range of packages useful in the analysis of geo-referenced spatial data are employed and code is provided. It will likely become a key reference for researchers and students from biostatistics, epidemiology, public health, and environmental science.

商品描述(中文翻譯)

隨著對地點如何影響健康結果的關注逐漸增加，疾病繪圖的領域專注於這些問題，而貝葉斯範式在理解這類疾病研究中背景與個體易感性之間的複雜相互作用方面扮演著重要角色。使用 R 進行貝葉斯空間及時空健康建模為那些有興趣在小區域健康數據研究中應用貝葉斯方法論的人提供了重要資源。

特點：


  • 回顧與空間健康數據相關的 R 圖形

  • 概述應用於空間數據的貝葉斯方法和貝葉斯層級建模

  • 貝葉斯計算和擬合優度

  • 回顧基本的貝葉斯疾病繪圖模型

  • 使用 MCMC 和 INLA 進行時空建模

  • 特殊主題包括多變量模型、生存分析、缺失數據、測量誤差、變數選擇、個體事件建模和傳染病建模

  • 基於 BRugs、Nimble、CARBayes 和 INLA 的模型擬合軟體

  • 提供與全書示例擬合相關的代碼，並在補充網站上提供

本書填補了文獻和可用軟體中的空白，為學生和專業人士提供了一個關鍵的連結，使其能夠從貝葉斯的角度使用 R 進行空間和時空健康數據的分析。本書強調通過 Nimble、BRugs 和 CARBayes 使用 MCMC，但也包括 INLA 以作比較。此外，還使用了多種在地理參考空間數據分析中有用的套件並提供了代碼。它可能會成為生物統計學、流行病學、公共衛生和環境科學研究人員和學生的重要參考資料。

作者簡介

Dr Lawson is Professor of Biostatistics in the Division of Biostatistics and Bioinformatics, Department of Public Health Sciences, College of Medicine, MUSC and is an MUSC Distinguished Professor Emeritus and ASA Fellow. His PhD was in Spatial Statistics from the University of St. Andrews, UK.

He has over 190 journal papers on the subject of spatial epidemiology, spatial statistics and related areas. In addition to a number of book chapters, he is the author of 10 books in areas related to spatial epidemiology and health surveillance. The most recent of these is Lawson, A.B. et al (eds) (2016) Handbook of Spatial Epidemiology. CRC Press, New York, and in 2018 a 3rd edition of Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology CRC Press. He has acted as an advisor in disease mapping and risk assessment for the World Health Organization (WHO) and is the founding editor of the Elsevier journal Spatial and Spatio-temporal Epidemiology. Dr Lawson has delivered many short courses in different locations over the last 20 years on Bayesian Disease Mapping with OpenBUGS, INLA, and Nimble, and more general spatial epidemiology topics.

Web site: http: //people.musc.edu/ abl6/

作者簡介(中文翻譯)

Dr. Lawson 是美國醫學大學 (MUSC) 公共衛生科學系生物統計與生物資訊學組的生物統計學教授，並且是 MUSC 的榮譽特聘教授及美國統計協會 (ASA) 會士。他的博士學位來自英國聖安德魯斯大學，專攻空間統計學。

他在空間流行病學、空間統計學及相關領域發表了超過 190 篇期刊論文。除了多篇書籍章節外，他還著有 10 本與空間流行病學和健康監測相關的書籍。其中最新的作品是 Lawson, A.B. 等編輯的《Handbook of Spatial Epidemiology》（2016年，CRC Press，紐約），以及在 2018 年出版的《Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology》（第三版，CRC Press）。他曾擔任世界衛生組織 (WHO) 在疾病繪圖和風險評估方面的顧問，並且是 Elsevier 期刊《Spatial and Spatio-temporal Epidemiology》的創始編輯。過去 20 年來，Dr. Lawson 在不同地點提供了許多關於使用 OpenBUGS、INLA 和 Nimble 進行貝葉斯疾病繪圖及更一般的空間流行病學主題的短期課程。

網站: http://people.musc.edu/abl6/

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