Textbook of Clinical Trials in Oncology: A Statistical Perspective
暫譯: 腫瘤學臨床試驗教科書:統計學觀點
Halabi, Susan, Michiels, Stefan
- 出版商: CRC
- 出版日期: 2020-12-18
- 售價: $2,580
- 貴賓價: 9.5 折 $2,451
- 語言: 英文
- 頁數: 626
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0367729571
- ISBN-13: 9780367729578
海外代購書籍(需單獨結帳)
相關主題
商品描述
There is an increasing need for educational resources for statisticians and investigators. Reflecting this, the goal of this book is to provide readers with a sound foundation in the statistical design, conduct, and analysis of clinical trials. Furthermore, it is intended as a guide for statisticians and investigators with minimal clinical trial experience who are interested in pursuing a career in this area. The advancement in genetic and molecular technologies have revolutionized drug development. In recent years, clinical trials have become increasingly sophisticated as they incorporate genomic studies, and efficient designs (such as basket and umbrella trials) have permeated the field. This book offers the requisite background and expert guidance for the innovative statistical design and analysis of clinical trials in oncology.
Key Features:
- Cutting-edge topics with appropriate technical background
- Built around case studies which give the work a "hands-on" approach
- Real examples of flaws in previously reported clinical trials and how to avoid them
- Access to statistical code on the book's website
- Chapters written by internationally recognized statisticians from academia and pharmaceutical companies
- Carefully edited to ensure consistency in style, level, and approach
- Topics covered include innovating phase I and II designs, trials in immune-oncology and rare diseases, among many others
商品描述(中文翻譯)
隨著統計學家和研究人員對教育資源的需求日益增加,本書的目標是為讀者提供臨床試驗的統計設計、執行和分析的堅實基礎。此外,本書旨在為對臨床試驗經驗有限的統計學家和研究人員提供指導,幫助他們在這一領域追求職業生涯。基因和分子技術的進步已經徹底改變了藥物開發。近年來,臨床試驗變得越來越複雜,因為它們納入了基因組研究,並且高效的設計(如籃子試驗和雨傘試驗)已經滲透到這一領域。本書提供了創新的腫瘤學臨床試驗的統計設計和分析所需的背景知識和專家指導。
主要特點:
- 前沿主題,配有適當的技術背景
- 以案例研究為基礎,使工作具有“實踐”方法
- 之前報告的臨床試驗中的缺陷的真實例子及如何避免它們
- 可在本書網站上訪問統計代碼
- 章節由來自學術界和製藥公司的國際知名統計學家撰寫
- 精心編輯以確保風格、水平和方法的一致性
- 涵蓋的主題包括創新的第一和第二期設計、免疫腫瘤學和罕見疾病的試驗等多個方面
作者簡介
Susan Halabi, Ph.D. is Professor of Biostatistics and Bioinformatics, Duke University, USA. She has extensive experience in the design and analysis of clinical trials in oncology. Dr. Halabi is a fellow of the American Statistical Association, the Society of Clinical Trials, and the American Society of Clinical Oncology. She serves on the Oncologic Drugs Advisory Committee for the Food and Drug Administration.
Stefan Michiels, Ph.D. is Head of the Oncostat team of the Center for research in epidemiology and population health (INSERM U1018, University Paris-Saclay, University Paris-Sud) at Gustave Roussy, Villejuif, France. His areas of expertise are clinical trials, meta-analyses and prediction models in oncology. Stefan is the currently the chair of the biostatisticians at Unicancer, a French collaborative cancer clinical trials group. Stefan holds a PhD in Biostatistics from the School of Public Health at the University Paris-Sud and Master Degrees in Statistics and in Applied Mathematics from the University of Leuven. His previous positions include the Université Libre de Bruxelles- Institut Jules Bordet (Belgium), the National Cancer Institute (France) and the University of Leuven (Belgium). He is currently member of the editorial board of the Journal of the National Cancer Institute and Annals of Oncology.
作者簡介(中文翻譯)
蘇珊·哈拉比(Susan Halabi),博士,是美國杜克大學生物統計學與生物資訊學的教授。她在腫瘤學臨床試驗的設計與分析方面擁有豐富的經驗。哈拉比博士是美國統計協會、美國臨床試驗學會及美國臨床腫瘤學會的會士。她擔任美國食品藥品監督管理局的腫瘤藥物諮詢委員會成員。
斯特凡·米基爾斯(Stefan Michiels),博士,是法國吉斯塔夫·魯西(Gustave Roussy)流行病學與人口健康研究中心(INSERM U1018,巴黎薩克雷大學,巴黎南大學)Oncostat 團隊的負責人。他的專業領域包括腫瘤學的臨床試驗、統合分析及預測模型。斯特凡目前是法國合作癌症臨床試驗組織 Unicancer 的生物統計學家主席。斯特凡在巴黎南大學公共衛生學院獲得生物統計學博士學位,並在魯汀大學獲得統計學及應用數學的碩士學位。他曾任職於布魯塞爾自由大學-朱爾·博爾德研究所(比利時)、法國國家癌症研究所及魯汀大學(比利時)。他目前是《國家癌症研究所期刊》和《腫瘤學年鑑》的編輯委員會成員。