Software for meta-analysis with correlated outcomes

用于具有相关结果的荟萃分析的软件

• 批准号: 8210976
• 负责人: Michael Borenstein
• 金额: $ 38.35万
• 依托单位: BIOSTATISTICAL PROGRAMMING ASSOC, INC.
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-01-15 至 2012-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8210976
• 关键词: Address; Adopted; Alcohol abuse; Algorithms; Back; Centers for Disease Control and Prevention (U.S.); Complex; Computer software; Data; Data Set; Ecology; Education; Generations; Gerontology; Goals; Grant; Institution; Intervention; Knowledge; Medicine; Meta-Analysis; Outcome; Paper; Policies; Procedures; Reporting; Research; Research Personnel; Series; Social Sciences; Solutions; Substance abuse problem; System; Techniques; Text; Time; United States National Institutes of Health; University Hospitals; Work; design; evidence base; falls; interest; programs; public health relevance; software development

DESCRIPTION (provided by applicant): Meta-analysis is the statistical procedure employed to synthesize data from a series of studies. As such, it falls at the core of evidence-based policy in such fields as alcohol and substance abuse, medicine, social science, ecology, education, gerontology, among many others. The current generation of meta-analysis software is designed for the situation where each study contributes one (and only one) effect size to the analysis. However, many meta-analyses do incorporate studies that report more than one effect size. In particular, studies sometimes report effects for more than one outcome, for more than one time-point, and/or for more than one intervention. In these cases the standard formulas and software cannot be used, and there are no good options for performing the analysis. The only software that can be used in these cases requires a high level of statistical expertise, and additionally requires the user to provide information, such as the correlation matrix among outcomes, that the user is not likely to have. Therefore, as a practical matter, there are no good options for performing a meta-analysis involving more than one effect size. Under a series of earlier grants we developed a program for meta-analysis that is currently in use at some 10,000 institutions around the world, including thousands of hospitals, universities, and agencies such as the FDA, CDC, NIH, WHO, among many others. Our plan is to expand this to work with studies that report more than one effect size, and that will not require the user to supply a correlation matrix. PUBLIC HEALTH RELEVANCE: The current generation of software for meta-analysis can only be used when each study provides a single effect size. The goal of this project is to develop software for meta-analysis that can be used when some (or all) studies report an effect for multiple outcomes, time-points, or treatments. This software will not require the user to provide a correlation matrix among effects.

描述（由申请人提供）：荟萃分析是用于综合一系列研究数据的统计程序。因此，在酒精和药物滥用、医学、社会科学、生态学、教育、老年学等领域，它福尔斯处于循证政策的核心。当前一代的荟萃分析软件是为每个研究对分析贡献一个（且只有一个）效应量的情况而设计的。然而，许多荟萃分析确实纳入了报告多个效应量的研究。特别是，研究有时会报告一个以上的结果，一个以上的时间点，和/或一个以上的干预措施的影响。在这些情况下，无法使用标准公式和软件，并且没有执行分析的好选项。在这些情况下可以使用的唯一软件需要高水平的统计专业知识，还需要用户提供用户不可能拥有的信息，例如结果之间的相关矩阵。因此，作为一个实际问题，没有很好的选择进行荟萃分析涉及一个以上的效果大小。在一系列早期的赠款下，我们开发了一个荟萃分析程序，目前在全球约10，000个机构中使用，包括数千家医院，大学和FDA，CDC，NIH，WHO等机构。我们的计划是将其扩展到报告多个效应量的研究，并且不需要用户提供相关矩阵。 公共卫生相关性：当前一代的荟萃分析软件只能在每项研究提供单一效应量时使用。该项目的目标是开发荟萃分析软件，当一些（或所有）研究报告多个结局、时间点或治疗的效果时，可以使用该软件。该软件不要求用户提供效应之间的相关矩阵。