Bayesian Biostatistics
暫譯: 貝葉斯生物統計學
Lesaffre, Emmanuel, Lawson, Andrew B.
- 出版商: Wiley
- 出版日期: 2012-08-13
- 售價: $2,890
- 貴賓價: 9.5 折 $2,746
- 語言: 英文
- 頁數: 544
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 0470018232
- ISBN-13: 9780470018231
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相關分類:
機率統計學 Probability-and-statistics
海外代購書籍(需單獨結帳)
相關主題
商品描述
Through examples, exercises and a combination of introductory and more advanced chapters, this book provides an invaluable understanding of the complex world of biomedical statistics illustrated via a diverse range of applications taken from epidemiology, exploratory clinical studies, health promotion studies, image analysis and clinical trials.
Key Features
- Provides an authoritative account of Bayesian methodology, from its most basic elements to its practical implementation, with an emphasis on healthcare techniques.
- Contains introductory explanations of Bayesian principles common to all areas of application.
- Presents clear and concise examples in biostatistics applications such as clinical trials, longitudinal studies, bioassay, survival, image analysis and bioinformatics.
- Illustrated throughout with examples using software including WinBUGS, OpenBUGS, SAS and various dedicated R programs.
- Highlights the differences between the Bayesian and classical approaches.
- Supported by an accompanying website hosting free software and case study guides.
Bayesian Biostatistics introduces the reader smoothly into the Bayesian statistical methods with chapters that gradually increase in level of complexity. Master students in biostatistics, applied statisticians and all researchers with a good background in classical statistics who have interest in Bayesian methods will find this book useful.
商品描述(中文翻譯)
生物統計學的成長在近年來是驚人的,並且在方法論和計算實用性方面都標誌著相當大的技術創新。其中一個經歷顯著增長的領域是貝葉斯方法。貝葉斯方法論的日益使用部分是因為越來越多的從業者認同貝葉斯範式與科學發現相匹配。此外,計算技術的進步使得更複雜的模型能夠常規地適應現實數據集。
通過範例、練習以及結合入門和更高級的章節,本書提供了對生物醫學統計複雜世界的寶貴理解,並通過來自流行病學、探索性臨床研究、健康促進研究、影像分析和臨床試驗等多樣化應用進行說明。
**主要特點**
- 提供貝葉斯方法論的權威說明,從最基本的元素到實際應用,重點在於醫療保健技術。
- 包含所有應用領域中常見的貝葉斯原則的入門解釋。
- 在生物統計應用中呈現清晰簡潔的範例,如臨床試驗、縱向研究、生物測定、生存分析、影像分析和生物資訊學。
- 全書以使用 WinBUGS、OpenBUGS、SAS 和各種專用 R 程式的範例進行說明。
- 突出貝葉斯方法與經典方法之間的差異。
- 附有支持網站,提供免費軟體和案例研究指南。
《貝葉斯生物統計學》平滑地引導讀者進入貝葉斯統計方法,章節的複雜程度逐漸增加。生物統計碩士生、應用統計學家以及所有對貝葉斯方法感興趣且具備良好經典統計背景的研究者都會發現本書非常有用。
作者簡介
Andrew Lawson, Professor of Statistics, Dept of Epidemiology & Biostatistics, University of South Carolina, USA. Dr Lawson has considerable and wide ranging experience in the development of statistical methods for spatial and environmental epidemiology. He has solid experience in teaching Bayesian statistics to students studying biostatistics and has also written two books and numerous journal articles in the biostatistics area. Dr Lawson has also guest edited two special issues of "Statistics in Medicine" focusing on Disease Mapping. He is a member of the editorial boards of the journals: Statistics in Medicine and .
作者簡介(中文翻譯)
艾曼紐·勒薩夫爾,比利時魯汀大學生物統計中心統計學教授。勒薩夫爾博士在生物統計學的各個領域工作和研究了25年。他教授了多個學科的學生,包括醫學、藥學、統計學和工程學,並在過去5年中教授貝葉斯統計學。他在主要的統計和醫學期刊上發表了超過200篇論文,並共同編輯了書籍公共衛生的疾病映射與風險評估,同時擔任生物統計學的副編輯。目前,他是期刊《統計建模:國際期刊》的共同編輯,並擔任《醫學研究中的統計方法》兩卷有關牙科統計的特刊編輯,還是多本期刊的編輯委員會成員。
安德魯·勞森,美國南卡羅來納大學流行病學與生物統計學系統計學教授。勞森博士在空間和環境流行病學的統計方法開發方面擁有相當廣泛的經驗。他在教授生物統計學的學生貝葉斯統計方面有著扎實的經驗,並撰寫了兩本書和多篇生物統計學領域的期刊文章。勞森博士還曾擔任《醫學中的統計》兩期專刊的客座編輯,專注於疾病映射。他是期刊醫學中的統計的編輯委員會成員。