Power and Sample Size for Multilevel and Longitudinal Designs in Health Research

健康研究中多层次和纵向设计的功效和样本量

• 批准号: 8810840
• 负责人: Deborah Helen Glueck
• 金额: $ 5万
• 依托单位: UNIVERSITY OF FLORIDA
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-28 至 2017-09-27
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8810840
• 关键词: Amendment; Applications Grants; Area; Authorship; Basic Science; Big Data; Books; Clinical Research; Clinical Trials; Complex; Computer software; Data; Data Analyses; Devices; Drug Approval; Educational process of instructing; Enrollment; Ensure; Ethics; Experimental Designs; Face; Funding; Funding Agency; Goals; Guidelines; Health; Health system; Image; Instruction; Journals; Knowledge; Laboratories; Language; Length; Longitudinal Studies; Manuscripts; Market Research; Methods; Outcome; Outcomes Research; Paper; Participant; Peer Review; Phase II/III Trial; Polishes; Process; Professional Ethics; Readability; Rennie; Reporting; Research; Research Design; Research Personnel; Sample Size; Scientist; Speech; Statistical Methods; Techniques; Time; Translations; United States National Institutes of Health; Voice; Work; Writing; base; design; high standard; innovation; longitudinal design; mathematical theory; multidisciplinary; multilevel analysis; panacea; psychologic; public health relevance; sound; statistics; stem; theories; tool

DESCRIPTION (provided by applicant): Two experts in multilevel and longitudinal power and sample size propose to create a book- length, peer-reviewed, scholarly work entitled "Power and Sample Size for Multilevel and Longitudinal Designs in Health Research." The two investigators will share authorship with an expert team of statisticians specializing in sample size methods. Scientists will use the resulting book to design multilevel and longitudinal studies. Health outcomes, spatial, imaging, and 'omics research are typical big data applications that often use multilevel and longitudinal designs. The book will be useful to scientists designing studies for NIH funding, companies seeking FDA approval for drugs or devices, and laboratory researchers conducting basic research. No matter where they work, scientists must calculate sample size correctly, both for ethical reasons and because of regulatory and funding agency requirements. The book entitled "Power and Sample Size for Multilevel and Longitudinal Designs in Health Research" will provide power and sample size methods for multilevel and longitudinal designs in an accessible, readable format packed with examples of power analyses. In the proposed book, the authors will: 1) Teach scientists how to plan multilevel and longitudinal data and sample size analysis at the same time; 2) Use clear language and step-by- step instructions to show scientists how to do power and sample size analysis for any multilevel and longitudinal design; 3) Describe practical techniques for selecting inputs to implement sample size analysis; and 4) Use an authorship and peer-review process common to scientific journals to increase the quality and readability of the book. Market research shows that there is an eager, large and multidisciplinary scientific audience for the book. The enthusiasm of the scientists stems from their ethical and professional needs to choose sample size correctly for multilevel and longitudinal studies, as well as the lack of accessible and accurate methods in currently available books and software.

描述（由申请人提供）：两位多层次和纵向功效和样本量方面的专家提议创作一本长书、同行评审的学术著作，题为“健康研究中多层次和纵向设计的功效和样本量”。两位研究人员将与专门研究样本量方法的统计学家专家团队分享作者身份。 科学家将使用最终的书来设计多层次和纵向研究。健康结果、空间、成像和组学研究是典型的大数据应用，通常使用多层次和纵向设计。这本书对于为 NIH 资助而设计研究的科学家、寻求 FDA 批准药物或设备的公司以及进行基础研究的实验室研究人员非常有用。无论在哪里工作，科学家都必须正确计算样本量，这既是出于道德原因，也是出于监管和资助机构的要求。 题为“健康研究中多级和纵向设计的功效和样本量”的书将以易于阅读的格式提供多级和纵向设计的功效和样本量方法，其中包含功效分析示例。 在拟议的书中，作者将：1）教科学家如何同时规划多层次和纵向数据以及样本量分析； 2）使用清晰的语言和分步说明向科学家展示如何对任何多层次和纵向设计进行功效和样本量分析； 3) 描述选择输入以实施样本量分析的实用技术； 4) 使用科学期刊常见的作者身份和同行评审流程来提高书籍的质量和可读性。 市场研究表明，这本书有大量热切的、跨学科的科学读者。科学家们的热情源于他们在多层次和纵向研究中正确选择样本量的道德和专业需求，以及当前可用的书籍和软件中缺乏易于理解和准确的方法。