Cure Models: Methods, Applications, and Implementation
暫譯: 治療模型：方法、應用與實作
Peng, Yingwei, Yu, Binbing
- 出版商: CRC
- 出版日期: 2021-03-23
- 售價: $4,430
- 貴賓價: 9.5 折 $4,209
- 語言: 英文
- 頁數: 252
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 036714557X
- ISBN-13: 9780367145576
海外代購書籍(需單獨結帳)
商品描述
Cure Models: Methods, Applications and Implementation is the first book in the last 25 years that provides a comprehensive and systematic introduction to the basics of modern cure models, including estimation, inference, and software. This book is useful for statistical researchers and graduate students, and practitioners in other disciplines to have a thorough review of modern cure model methodology and to seek appropriate cure models in applications. The prerequisites of this book include some basic knowledge of statistical modeling, survival models, and R and SAS for data analysis.
The book features real-world examples from clinical trials and population-based studies and a detailed introduction to R packages, SAS macros, and WinBUGS programs to fit some cure models. The main topics covered include
- the foundation of statistical estimation and inference of cure models for independent and right-censored survival data,
- cure modeling for multivariate, recurrent-event, and competing-risks survival data, and joint modeling with longitudinal data,
- statistical testing for the existence and difference of cure rates and sufficient follow-up,
- new developments in Bayesian cure models,
- applications of cure models in public health research and clinical trials.
商品描述(中文翻譯)
《Cure Models: Methods, Applications and Implementation》是過去25年來第一本提供現代治療模型基礎的全面且系統性介紹的書籍，包括估計、推斷和軟體。這本書對於統計研究人員、研究生以及其他學科的實務工作者來說，都是一個徹底回顧現代治療模型方法論的有用資源，並尋求在應用中適當的治療模型。本書的前提條件包括對統計建模、生存模型以及用於數據分析的R和SAS有一些基本的了解。
本書包含來自臨床試驗和基於人群的研究的實際案例，並詳細介紹了用於擬合一些治療模型的R套件、SAS宏和WinBUGS程式。主要涵蓋的主題包括：
- 獨立和右截尾生存數據的治療模型的統計估計和推斷基礎，
- 多變量、重複事件和競爭風險生存數據的治療建模，以及與縱向數據的聯合建模，
- 治療率存在性和差異的統計檢驗及充分的隨訪，
- 貝葉斯治療模型的新發展，
- 治療模型在公共衛生研究和臨床試驗中的應用。
作者簡介
Yingwei Peng is Professor of Biostatistics in the Departments of Public Health Sciences and Mathematics and Statistics at Queen's University and a senior Biostatistician at Queen's Cancer Research Institute. He has been an Associate Editor of Canadian Journal of Statistics since 2010 and provided referee services to all mainstream statistical journals and Canadian federal funding agencies (NSERC and CIHR). He offered short courses on cure models, either by himself or with Jeremy Taylor (University of Michigan, USA), in Joint Statistical Meetings, ENAR Spring Meeting, and Université catholique de Louvain, Belgium, in 2014. Binbing Yu is an Associate Director in the AstraZeneca oncology biometric group. He has extensive experience in the applications of cure models in public health, clinical trials and health economics and made notable contributions to the development and enhancement of cure modeling for the presentation and analysis of cancer survival data for the USA National Cancer Institute.
作者簡介(中文翻譯)
彭英偉是女王大學公共衛生科學系及數學與統計系的生物統計學教授，同時也是女王癌症研究所的高級生物統計師。自2010年以來，他一直擔任加拿大統計學期刊的副編輯，並為所有主流統計期刊及加拿大聯邦資助機構（NSERC和CIHR）提供審稿服務。他曾在2014年於聯合統計會議、ENAR春季會議及比利時魯汶大學提供有關治療模型的短期課程，課程由他本人或與美國密西根大學的傑瑞米·泰勒（Jeremy Taylor）共同授課。余彬彬是阿斯特捷利康（AstraZeneca）腫瘤生物統計小組的副主任。他在公共衛生、臨床試驗及健康經濟學中應用治療模型方面擁有豐富的經驗，並對美國國家癌症研究所的癌症生存數據的呈現與分析中的治療建模發展與增強做出了顯著貢獻。
