Power Analysis of Trials with Multilevel Data
暫譯: 多層次資料試驗的效能分析
Moerbeek, Mirjam, Teerenstra, Steven
- 出版商: CRC
- 出版日期: 2021-03-31
- 售價: $2,400
- 貴賓價: 9.5 折 $2,280
- 語言: 英文
- 頁數: 288
- 裝訂: Quality Paper - also called trade paper
- ISBN: 0367783444
- ISBN-13: 9780367783440
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商品描述
Power Analysis of Trials with Multilevel Data covers using power and sample size calculations to design trials that involve nested data structures. The book gives a thorough overview of power analysis that details terminology and notation, outlines key concepts of statistical power and power analysis, and explains why they are necessary in trial design. It guides you in performing power calculations with hierarchical data, which enables more effective trial design.
The authors are leading experts in the field who recognize that power analysis has attracted attention from applied statisticians in social, behavioral, medical, and health science. Their book supplies formulae that allow statisticians and researchers in these fields to perform calculations that enable them to plan cost-efficient trials. The formulae can also be applied to other sciences.
Using power analysis in trial design is increasingly important in a scientific community where experimentation is often expensive, competition for funding among researchers is intense, and agencies that finance research require proposals to give thorough justification for funding. This handbook shows how power analysis shapes trial designs that have high statistical power and low cost, using real-life examples.
The book covers multiple types of trials, including cluster randomized trials, multisite trials, individually randomized group treatment trials, and longitudinal intervention studies. It also offers insight on choosing which trial is best suited to a given project. Power Analysis of Trials with Multilevel Data helps you craft an optimal research design and anticipate the necessary sample size of data to collect to give your research maximum effectiveness and efficiency.
商品描述(中文翻譯)
《多層次數據試驗的效能分析》涵蓋了使用效能和樣本大小計算來設計涉及嵌套數據結構的試驗。這本書詳細介紹了效能分析的概念，包括術語和符號，概述了統計效能和效能分析的關鍵概念，並解釋了它們在試驗設計中的必要性。它指導您如何對層級數據進行效能計算，從而使試驗設計更為有效。
作者是該領域的領先專家，他們認識到效能分析已引起社會、行為、醫療和健康科學應用統計學家的關注。他們的書提供了公式，使這些領域的統計學家和研究人員能夠進行計算，從而計劃成本效益高的試驗。這些公式也可以應用於其他科學領域。
在科學界，實驗往往成本高昂，研究人員之間的資金競爭激烈，而資助研究的機構要求提案提供充分的資金理由，因此在試驗設計中使用效能分析變得越來越重要。本手冊展示了效能分析如何塑造具有高統計效能和低成本的試驗設計，並使用實際案例進行說明。
本書涵蓋了多種類型的試驗，包括集群隨機試驗、多地點試驗、個別隨機分組治療試驗和縱向干預研究。它還提供了選擇最適合特定項目的試驗的見解。《多層次數據試驗的效能分析》幫助您制定最佳的研究設計，並預測所需的樣本大小，以便收集數據，從而使您的研究達到最大的有效性和效率。
作者簡介
Mirjam Moerbeek is an associate professor at Utrecht University, the Netherlands. She obtained her master's degree (cum laude) in biometrics from Wageningen Agricultural University in 1996 and her PhD in applied statistics from Maastricht University in 2000. She has received prestigious research grants from the Netherlands' Organisation for Scientific Research (NWO) as well as grants to hire PhD students. Her research interests are statistical power analysis and optimal experimental design, especially for hierarchical and survival data. She was involved in organizing a colloquium and class on cost-efficient and optimal designs for the Royal Netherlands Academy of Arts and Sciences (KNAW) and is a joint organizer of the biennial International Conference on Multilevel Analysis.
Steven Teerenstra received his MSc and PhD in mathematics at Radboud University in 1996 and 2004, respectively, as well as his MSc in theoretical physics in 2006. He is currently a biostatistician at Radboud University Nijmegen Medical Center, involved in research, consultation and conduct of cluster randomized trials. He is appointed assessor of statistics and methodology at the Dutch Medicines Evaluation Board and a member of the Biostatistics Working Party at the European Medicines Agency.
作者簡介(中文翻譯)
Mirjam Moerbeek 是荷蘭烏特勒支大學的副教授。她於1996年在瓦赫寧根農業大學獲得生物統計學碩士學位（優等），並於2000年在馬斯特里赫特大學獲得應用統計學博士學位。她曾獲得荷蘭科學研究組織（NWO）頒發的多項著名研究獎助金，以及用於聘請博士生的獎助金。她的研究興趣包括統計檢定力分析和最佳實驗設計，特別是針對階層數據和生存數據。她參與組織了荷蘭皇家藝術與科學學院（KNAW）關於成本效益和最佳設計的座談會和課程，並共同主辦了雙年舉行的國際多層次分析會議。
Steven Teerenstra 於1996年和2004年分別在拉德堡德大學獲得數學碩士和博士學位，並於2006年獲得理論物理碩士學位。他目前是拉德堡德大學奈梅亨醫療中心的生物統計學家，參與研究、諮詢和進行集群隨機試驗。他被任命為荷蘭藥物評估委員會的統計和方法學評估員，並且是歐洲藥品管理局生物統計工作組的成員。
