Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Third Edition
暫譯: 貝葉斯疾病繪圖：空間流行病學中的階層模型（第三版）

Lawson, Andrew B.

Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Third Edition
  • 出版商: CRC
  • 出版日期: 2021-03-31
  • 售價: $2,480
  • 貴賓價: 9.5 折 $2,356
  • 語言: 英文
  • 頁數: 488
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0367781220
  • ISBN-13: 9780367781224
  • 相關分類: 機率統計學 Probability-and-statistics

    • 海外代購書籍(需單獨結帳)

商品描述

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.

商品描述(中文翻譯)

自第二版出版以來，許多新的貝葉斯工具和方法已經被開發出來，用於時空數據分析、健康結果的預測建模以及其他空間生物統計領域。探索這些新發展的《貝葉斯疾病繪圖：空間流行病學中的階層建模，第三版》提供了最新的、連貫的貝葉斯疾病繪圖方法和應用的全貌。

除了新材料外，本書還涵蓋了更傳統的領域，如相對風險估計、聚類、空間生存分析和縱向分析。在介紹貝葉斯推斷、計算和模型評估之後，文本重點關注重要主題，包括疾病地圖重建、聚類檢測、回歸和生態分析、假設危害建模、多尺度和多疾病分析、空間生存和縱向研究、時空方法以及地圖監測。它展示了貝葉斯疾病繪圖如何對地理參考的健康數據提供重要的見解。

本書的目標讀者是需要處理地理參考健康數據的公共衛生專家、流行病學家和生物統計學家。

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.

作者簡介(中文翻譯)

Andrew B. Lawson 是南卡羅來納醫學大學醫學院生物統計學與流行病學部的生物統計學教授及傑出學者。他是美國統計協會（ASA）的會士，並擔任世界衛生組織在疾病地圖和風險評估方面的顧問。Lawson 博士已發表超過 100 篇期刊論文和八本書籍，並且是《空間與時空流行病學》（Spatial and Spatio-temporal Epidemiology）的創始編輯。他在聖安德魯斯大學獲得空間統計學的博士學位。他的研究興趣包括聚集性疾病地圖的分析、空間及時空疾病監測、營養測量誤差，以及貝葉斯潛在變數和結構方程模型（SEM）建模。

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