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

描述（由申请人提供）：两名专家在多层次和纵向的权力和样本量建议创建一本书的长度，同行评议，学术著作，题为“权力和样本量的多层次和纵向设计在健康研究。“两位研究人员将与一个专门研究样本量方法的统计学家专家小组分享作者身份。 科学家们将使用这本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，通常使用多级和纵向设计。这本书将是有用的科学家设计研究为NIH的资金，公司寻求FDA批准的药物或设备，和实验室研究人员进行基础研究。无论他们在哪里工作，科学家都必须正确计算样本量，这既是出于道德原因，也是因为监管和资助机构的要求。 这本书题为“权力和样本量的多层次和纵向设计在健康研究”将提供权力和样本量的方法，多层次和纵向设计在一个可访问的，可读的格式包装与权力分析的例子。 在建议的书中，作者将：1）教科学家如何计划多层次和纵向数据和样本量分析在同一时间; 2）使用明确的语言和一步一步的指示，以显示科学家如何做任何多层次和纵向设计的功效和样本量分析; 3）描述选择输入的实用技术，以实现样本量分析; 4）使用科学期刊常见的作者身份和同行评审程序，以提高该书的质量和可读性。 市场调查表明，这本书有一个热切的，大量的和多学科的科学观众。科学家的热情源于他们的道德和专业需要，为多层次和纵向研究选择正确的样本量，以及目前可用的书籍和软件缺乏可访问和准确的方法。

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.