ESTIMATING MEDIATION EFFECTS IN PREVENTION STUDIES

估计预防研究中的中介效应

• 批准号: 2443500
• 负责人: David P MacKinnon
• 金额: $ 21.01万
• 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 2000-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2443500
• 关键词: alcoholism /alcohol abuse prevention; androgen analog; behavioral /social science research tag; computer assisted instruction; drug abuse prevention; health care service evaluation; human data; human therapy evaluation; mathematical model; method development; outcomes research; statistics /biometry; stress management

DESCRIPTION: (Applicant's Abstract) The purpose of this proposal is to develop 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 outcomes. As noted by many researchers, mediation analyses identify the most effective program components and increase understanding of the underlying processes leading to-drug use. The need for these new procedures became apparent in the analyses of several NIDA funded drug prevention programs. The P.I. of this grant received a one-year NIDA small grant to study the assessment of mediation effects. In this proposal, we request four years of funding to develop methods and statistical procedures for the more complicated types of designs and procedures commonly used in prevention research. In the first of seven proposed studies, we examine type 1 error and statistical power of tests of mediation. In Study 2, mediated effects in multiple mediator and longitudinal models are examined. In Study 3, we develop and evaluate methods to estimate mediated effects in the nonequivalent control group design. In Study 4, we develop and evaluate methods to estimate mediated effects in logistic regression and the proportional hazards model. In Study 5, we develop and evaluate methods to estimate mediation effects in a variety of designs, including the hierarchical regression model and models with both moderator and mediator effects. In Study 6, we examine the effects of missing data, measurement error, non-normal data, and outliers on the estimation of mediated effects. In Study 7, we apply the new methods in several NIDA funded drug prevention projects. As part of Study 7, we will increase the use of mediation methods by the establishment of a consultation service and an interactive computer program to teach researchers how to conduct mediation analysis.

描述：（申请人的摘要） 该提案的目的是开发方法论和统计 确定预防计划如何改变结果变量的程序。 这些调解分析评估了程序对 预防计划和对结果的影响的构造。 作为 许多研究人员注意到，调解分析确定了最有效的 编程组件并增加对基础过程的理解 导致使用毒品的使用。 这些新程序的需求在分析的分析中显而易见 NIDA资助了预防药物计划。 P.I.这笔赠款收到了 一年的NIDA小赠款研究调解效应的评估。 在 这项建议，我们要求四年的资金开发方法， 更复杂类型的设计和 通常用于预防研究的程序。 在七个 拟议的研究，我们检查了1型错误和测试的统计能力 调解。 在研究2中，多个介体的介导作用和 检查了纵向模型。 在研究3中，我们开发和评估 估计非级对照组中介导的效应的方法 设计。 在研究4中，我们开发和评估估计介导的方法 逻辑回归和比例危害模型的影响。 在研究中 5，我们开发和评估方法以估计 各种设计，包括分层回归模型和模型 带有主持人和调解人效应。 在研究6中，我们检查了 缺少数据，测量误差，非正常数据和离群值的影响对 介导作用的估计。 在研究7中，我们将新方法应用于 几家NIDA资助了预防药物项目。 作为研究7的一部分，我们将 通过建立咨询来增加调解方法的使用 服务和交互式计算机程序，以教导研究人员如何 进行调解分析。