Estimating Mediation Effects in Prevention Studies

估计预防研究中的中介效应

• 批准号: 6680652
• 负责人: David P MacKinnon
• 金额: $ 22.08万
• 依托单位: ARIZONA STATE UNIVERSITY-TEMPE CAMPUS
• 依托单位国家: 美国
• 财政年份: 1996
• 资助国家: 美国
• 起止时间: 1996-07-01 至 2007-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6680652
• 关键词: alcoholism /alcohol abuse prevention; behavioral /social science research tag; clinical research; drug abuse prevention; health care service evaluation; health services research tag; human data; human therapy evaluation; longitudinal human study; mathematical model; method development; outcomes research; statistics /biometry; stress management

DESCRIPTION (provided by applicant): The purpose of this competing continuation grant proposal is to continue developing and evaluating methodological and statistical procedures to determine how prevention programs change outcome variables. These mediation analyses assess the link between program effects on the constructs targeted by a prevention program and effects on the outcome. As noted by many researchers, mediation analyses identify the most effective program components and increase understanding of the underlying processes leading to changing outcome variables. The need for these new procedures became apparent in the analyses of several NIDA funded drug prevention programs. The Principal Investigator of this grant received a one-year NIDA funded small grant to study the assessment of mediation effects and a four-year grant to develop and evaluate methods and statistical procedures for the types of designs and procedures commonly used in prevention research. The proposed four-year continuation study will examine three statistical topics that represent the next steps in this research. Each statistical study includes analytical and simulation research as well as applications to actual etiological and prevention data. In Study 1, significance testing using resampling methods and methods based on the distribution of the product of two random variables will be developed and evaluated. New tests for mediation will also be evaluated in this study. Study 2 will investigate mediation models for program effects that differ by subgroups of participants. One of these models is the mediated baseline by treatment moderator model where program effects depend on baseline levels of a mediating variable. Study 3 will continue the development and evaluation of mediation methods in latent growth curve modeling including models identifying groups or classes of study participants with different trajectories of change over time. In Study 4, the statistical methods will be applied in several NIH funded prevention data sets providing important feedback about the usefulness of the models. Study 5 will disseminate new information about mediation analysis including the development of a mediation analysis working group and additions to our mediation analysis website.

描述（由申请人提供）：该竞争性延续赠款提案的目的是继续开发和评估方法论和统计程序，以确定预防计划如何改变结果变量。这些调解分析评估了程序对预防计划针对的构建体的影响与对结果的影响之间的联系。正如许多研究人员所指出的那样，调解分析确定了最有效的程序组件，并增加对导致结果变量变化的基础过程的理解。在几种NIDA资助的预防药物计划的分析中，对这些新程序的需求变得显而易见。该赠款的主要研究者获得了为期一年的NIDA资助的小型赠款，以研究调解效应的评估以及为预防研究中常用的设计和程序类型开发和评估方法和统计程序的四年赠款。拟议的四年延续研究将研究三个统计主题，这些统计主题代表了这项研究的下一步。每项统计研究都包括分析和仿真研究，以及对实际病因和预防数据的应用。在研究1中，将开发和评估使用基于两个随机变量的乘积分布的重采样方法和方法进行显着性测试。这项研究还将评估调解的新测试。研究2将研究与参与者亚组不同的程序效应的调解模型。这些模型之一是治疗主持人模型的介导的基线，其中程序效应取决于中介变量的基线水平。研究3将继续对潜在生长曲线建模中的调解方法进行开发和评估，包括识别随时间变化轨迹不同的研究参与者组或类别的研究参与者。在研究4中，统计方法将应用于几个NIH资助的预防数据集中，提供有关模型有用性的重要反馈。研究5将传播有关调解分析的新信息，包括开发调解分析工作组以及我们的中介分析网站的增加。