New Approaches to Mediation Analysis using Causal Inference Methods

使用因果推理方法进行中介分析的新方法

• 批准号: 7830627
• 负责人: JOSEPH W HOGAN
• 金额: $ 48.1万
• 依托单位: BROWN UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-30 至 2011-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7830627
• 关键词: Address; Alcohol abuse; Alcohols; Archives; Area; Bayesian Method; Behavior Therapy; Behavioral; Binding; Characteristics; Clinical; Computer software; Data; Data Analyses; Data Set; Dependence; Development; Evaluation; Individual; Intervention; Intervention Studies; Knowledge; Literature; Mediating; Mediation; Mediator of activation protein; Methods; Modeling; Outcomes Research; Pathway interactions; Persons; Probability; Procedures; Process; Research; Research Personnel; Sampling; Source; Statistical Methods; Stratification; Testing; Weight; Work; abstracting; alcohol abuse therapy; base; behavior change; comparative effectiveness; design; effectiveness research; flexibility; innovation; intervention effect; novel strategies; open source; person centered; programs; simulation; theories; web site

DESCRIPTION (provided by applicant): This application addresses broad Challenge Area (05) Comparative Effectiveness Research and specific Challenge Topics, 05-AA-101: Innovative Analysis of Existing Clinical Datasets and 05-AA-102: Adaptive Designs and Person-Centered Data Analysis for Alcohol Treatment Research. Abstract Mechanistic models of behavior change inherently describe causal processes; however, most analyses in the behavioral literature rely on the Baron and Kenny (1986) regression-based approach, which generally cannot be used to infer causal effects. Researchers may be reluctant to use causal models due to lack of full understanding of the models and lack of readily available software. This project is intended to bridge the gap between theory and practice of causal modeling for assessment of mediation in behavioral intervention studies, with specific focus on interventions for alcohol abuse. We use causal models of direct and indirect effects described by Robins and Greenland (1992) and Pearl (2001). The primary contributions of the proposed research will be development, application, evaluation and dissemination of statistical methods for fitting these models to observed data. The proposed research will develop statistical approaches for discovering pathways and mechanisms of behavioral interventions targeted at alcohol abuse. A major outcome of the research program is development, testing and dissemination of appropriate software for implementing the models. Knowledge of mechanistic pathways allows deeper understanding of how and why certain interventions work, and opens the door to customizing interventions based on person-specific characteristics.

描述（由申请人提供）：本申请涉及广泛的挑战领域（05）比较有效性研究和特定的挑战主题，05-AA-101：现有临床数据集的创新分析和05-AA-102：酒精治疗研究的自适应设计和以人为本的数据分析。行为变化的机械模型本质上描述了因果过程;然而，行为文献中的大多数分析依赖于Baron和Kenny（1986）基于回归的方法，该方法通常不能用于推断因果效应。研究人员可能不愿意使用因果模型，因为缺乏对模型的充分理解和缺乏现成的软件。该项目旨在弥合行为干预研究中中介评估因果建模理论与实践之间的差距，特别关注酒精滥用的干预。我们使用Robins和Greenland（1992）和Pearl（2001）描述的直接和间接影响的因果模型。拟议研究的主要贡献将是开发、应用、评估和传播统计方法，以使这些模型与观测数据相适应。拟议的研究将开发统计方法，以发现针对酒精滥用的行为干预的途径和机制。该研究方案的一个主要成果是开发、测试和传播用于实施模型的适当软件。机械途径的知识可以更深入地了解某些干预措施如何以及为什么起作用，并打开了根据个人具体特征定制干预措施的大门。