Disease Mapping: From Foundations to Multidimensional Modeling
暫譯: 疾病地圖繪製：從基礎到多維模型
Martinez-Beneito, Miguel A., Botella-Rocamora, Paloma
- 出版商: CRC
- 出版日期: 2019-07-17
- 售價: $5,230
- 貴賓價: 9.5 折 $4,969
- 語言: 英文
- 頁數: 432
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1482246414
- ISBN-13: 9781482246414
海外代購書籍(需單獨結帳)
商品描述
Disease Mapping: From Foundations to Multidimensional Modeling guides the reader from the basics of disease mapping to the most advanced topics in this field. A multidimensional framework is offered that makes possible the joint modeling of several risks patterns corresponding to combinations of several factors, including age group, time period, disease, etc. Although theory will be covered, the applied component will be equally as important with lots of practical examples offered.
Features:
- Discusses the very latest developments on multivariate and multidimensional mapping.
- Gives a single state-of-the-art framework that unifies most of the previously proposed disease mapping approaches.
- Balances epidemiological and statistical points-of-view.
- Requires no previous knowledge of disease mapping.
- Includes practical sessions at the end of each chapter with WinBUGs/INLA and real world datasets.
- Supplies R code for the examples in the book so that they can be reproduced by the reader.
About the Authors:
Miguel A. Martinez Beneito has spent his whole career working as a statistician for public health services, first at the epidemiology unit of the Valencia (Spain) regional health administration and later as a researcher at the public health division of FISABIO, a regional bio-sanitary research center. He has been also the Bayesian Hierarchical Models professor for several seasons at the University of Valencia Biostatics Master.
Paloma Botella Rocamora has spent most of her professional career in academia although she now works as a statistician for the epidemiology unit of the Valencia regional health administration. Most of her research has been devoted to developing and applying disease mapping models to real data, although her work as a statistician in an epidemiology unit makes her develop and apply statistical methods to health data, in general.
商品描述(中文翻譯)
《疾病繪圖：從基礎到多維建模》指導讀者從疾病繪圖的基本概念到該領域的最先進主題。提供了一個多維框架，使得可以對多個風險模式進行聯合建模，這些模式對應於多個因素的組合，包括年齡組、時間段、疾病等。雖然會涵蓋理論，但應用部分同樣重要，並提供了大量的實際範例。
特色：
- 討論多變量和多維繪圖的最新發展。
- 提供一個最先進的統一框架，整合了大多數先前提出的疾病繪圖方法。
- 平衡流行病學和統計學的觀點。
- 不需要具備疾病繪圖的先前知識。
- 每章結尾包含實踐課程，使用 WinBUGs/INLA 和真實世界數據集。
- 提供書中範例的 R 代碼，以便讀者能夠重現。
關於作者：
Miguel A. Martinez Beneito 在公共衛生服務擔任統計師的整個職業生涯中，首先在西班牙瓦倫西亞地區衛生管理局的流行病學單位工作，後來在 FISABIO 的公共衛生部門擔任研究員，該機構是一個地區生物衛生研究中心。他還曾在瓦倫西亞大學的生物統計碩士課程中擔任貝葉斯層級模型教授。
Paloma Botella Rocamora 的大部分職業生涯都在學術界，雖然她現在在瓦倫西亞地區衛生管理局的流行病學單位擔任統計師。她的大部分研究致力於開發和應用疾病繪圖模型於真實數據，儘管她在流行病學單位的統計師工作使她能夠開發和應用統計方法於健康數據。
作者簡介
Although Miguel A. Martinez-Beneito's background is mostly based in mathematics/statistics his scientific career has been completely linked to Public Health. His first professional job was as statistician in the epidemiology unit of the Valencian regional health authority and all his research from then has been focused on the development of statistical methods for epidemiological studies. His main line of research is disease mapping and its extension to complex settings (multivariate spatial models, spatio-temporal models, spatial survival models, ...) where he has published most of his research papers with either methodological/statistical or applied/epidemiological content. Regardless his peer-reviewed scientific publication Dr. Martinez-Beneito has been involved in several projects entailing the intensive application of disease mapping methods to the study of mortality in different contexts and regions. As a result he is author of 3 spatial atlas of mortality (2 of them corresponding to the Valencian region and another one to big Spanish cities) and 1 spatio-temporal atlas (http: //www.geeitema.org/AtlasET/index.jsp?idioma=I). This extensive experience in geographical mortality studies makes Dr. Martinez-Beneito particularly suited to undertake this project.
Paloma Botella-Rocamora's background is based in mathematics/statistics, but her scientific career is mainly linked to statistics within Public Health. Her first scientific job was as part time research internship at the Epidemiology Unit of the Valencian regional health authority working in a project studying rare diseases, where she developed different spatial atlases of morbidity for rare diseases. During those years she also participated in the development of a spatial mortality atlas in the Valencian region, and a spatio-temporal mortality atlas in this same region (http: //www.geeitema.org/AtlasET/index.jsp?idioma=I). She has also been the first author of the Spanish spatial atlas of rare diseases. She shared those jobs with her classes as part time associate professor at the University of Valencia and CEU-Cardenal Herrera University, where she already continues working as full time professor. Her teaching scope has always been linked to biostatistics in Health Sciences.
Following the topic of his doctoral thesis, Paloma Botella Rocamora's main line of research is disease mapping where she has published most of her research papers with either methodological/statistical or applied content. She has started to work in her recent scientific stay at the University of Minnesota (2013 summer) in the extension of disease mapping models to complex settings (multivariate spatial models, spatio-temporal models, ...). This extensive experience in geographical mortality studies makes Dr. Botella-Rocamora particularly suited to undertake this project
作者簡介(中文翻譯)
雖然Miguel A. Martinez-Beneito的背景主要基於數學/統計學，但他的科學事業完全與公共衛生相關。他的第一份專業工作是在瓦倫西亞地區衛生當局的流行病學單位擔任統計師，從那時起他的所有研究都專注於為流行病學研究開發統計方法。他的主要研究方向是疾病地圖及其在複雜環境中的擴展（多變量空間模型、時空模型、空間生存模型等），在這些領域他發表了大部分的研究論文，內容涵蓋方法論/統計或應用/流行病學。除了他的同行評審科學出版物外，Martinez-Beneito博士還參與了幾個項目，這些項目涉及將疾病地圖方法密集應用於不同背景和地區的死亡率研究。因此，他是三本死亡率空間圖集的作者（其中兩本對應於瓦倫西亞地區，另一本對應於西班牙大城市）和一本時空圖集（http://www.geeitema.org/AtlasET/index.jsp?idioma=I）。在地理死亡率研究方面的豐富經驗使得Martinez-Beneito博士特別適合承擔這個項目。
Paloma Botella-Rocamora的背景同樣基於數學/統計學，但她的科學事業主要與公共衛生中的統計學相關。她的第一份科學工作是作為瓦倫西亞地區衛生當局流行病學單位的兼職研究實習生，參與一個研究罕見疾病的項目，在該項目中她為罕見疾病開發了不同的發病率空間圖集。在那些年裡，她還參與了瓦倫西亞地區的死亡率空間圖集和同一地區的時空死亡率圖集的開發（http://www.geeitema.org/AtlasET/index.jsp?idioma=I）。她還是西班牙罕見疾病空間圖集的第一作者。她在瓦倫西亞大學和CEU-Cardenal Herrera大學擔任兼職副教授的同時，繼續進行這些工作，並且目前已作為全職教授繼續在這些學校工作。她的教學範疇始終與健康科學中的生物統計學相關。
根據她的博士論文主題，Paloma Botella Rocamora的主要研究方向是疾病地圖，在這方面她發表了大部分的研究論文，內容涵蓋方法論/統計或應用內容。她最近在明尼蘇達大學的科學研究期間（2013年夏季）開始研究將疾病地圖模型擴展到複雜環境（多變量空間模型、時空模型等）。在地理死亡率研究方面的豐富經驗使得Botella-Rocamora博士特別適合承擔這個項目。
