Estimating Mediation Effects in Prevention Studies

估计预防研究中的中介效应

• 批准号: 6919964
• 负责人: David P MacKinnon
• 金额: $ 22.43万
• 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/6919964
• 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）：本竞争性继续拨款提案的目的是继续开发和评估方法和统计程序，以确定预防计划如何改变结果变量。这些中介分析评估了计划对预防计划所针对的结构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，中介分析确定了最有效的计划组成部分，并增加了对导致结果变量变化的潜在过程的理解。在对 NIDA 资助的几个毒品预防项目的分析中，对这些新程序的需求变得显而易见。此项资助的首席研究员获得了 NIDA 资助的为期一年的小额资助，用于研究中介效应的评估，以及为期四年的资助，用于开发和评估预防研究中常用的设计和程序类型的方法和统计程序。拟议的四年持续研究将研究代表本研究后续步骤的三个统计主题。每项统计研究都包括分析和模拟研究以及对实际病因和预防数据的应用。在研究 1 中，将开发和评估使用重采样方法和基于两个随机变量乘积分布的方法的显着性检验。这项研究还将评估新的调解测试。研究 2 将调查不同参与者亚组的项目效果的中介模型。这些模型之一是治疗调节模型的中介基线，其中项目效果取决于中介变量的基线水平。研究 3 将继续开发和评估潜在增长曲线建模中的中介方法，包括识别随着时间推移具有不同变化轨迹的研究参与者群体或类别的模型。在研究 4 中，统计方法将应用于 NIH 资助的几个预防数据集中，提供有关模型有用性的重要反馈。研究 5 将传播有关中介分析的新信息，包括建立中介分析工作组以及对我们的中介分析网站进行补充。