Heterogeneity in Prevention Intervention Effects On Substance Use: A Latent Varia

预防干预对药物使用影响的异质性:潜在变量

基本信息

  • 批准号:
    8634648
  • 负责人:
  • 金额:
    $ 21.21万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2012
  • 资助国家:
    美国
  • 起止时间:
    2012-04-15 至 2017-03-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): The proposed research project is an R01 project in response to PA-10-018 (Accelerating the pace of drug abuse research using existing epidemiology, prevention, and treatment research data). The goal of this project is to establish a framework for causal inference accounting for heterogeneity in longitudinal substance use trajectories in the context of prevention intervention trials. To accomplish this goal, we propose to integrate two powerful modeling frameworks, growth mixture modeling and causal modeling. Growth mixture modeling is a flexible tool for identifying heterogeneous trajectory strata and strata-specific intervention effects based on empirical model fitting. However, little is known about how we can use the growth mixture modeling results as strong evidence of causal intervention effects when their identification heavily relies on empirical fitting and parametric assumptions. Causal modeling refers to an inferential framework that focuses on clarification of assumptions that make causal interpretation possible. The strength of this approach is that the quality of causal inference can be evaluated by the scientific plausibility of the assumptions and the quality of sensitivity analysis based on these assumptions. Despite the significant potential benefit of integrating the two frameworks, little research has been conducted so far to examine such possibility. The proposed project is intended to guide this integration and to provide a practical framework for causal inference accounting for longitudinal heterogeneity in substance use development. Our investigations will be guided by existing data from two intervention studies: Adolescent Substance Abuse Prevention Study (AS- APS: Sloboda et al., 2009) and Johns Hopkins University Preventive Intervention Research Center Study (JHU PIRC: Ialongo et al., 1999). This project will provide extensive secondary analyses of these data using cutting-edge growth mixture modeling methods, in particular focusing on estimating intervention effects among groups with heterogeneous substance use trajectories. We expect that our study will promote high quality secondary analysis and improve the design of future substance use intervention trials by improving the evaluation of differential intervention effects as well as the identification of subpopulations who would benefit most from the intervention.
描述(由申请人提供):拟议的研究项目是响应PA-10-018(利用现有流行病学、预防和治疗研究数据加快药物滥用研究步伐)的R 01项目。本项目的目标是建立一个框架,因果推理占纵向物质使用轨迹的异质性,在预防干预试验的背景下。为了实现这一目标,我们建议集成两个强大的建模框架:增长混合建模和因果建模。增长混合模型是一种基于经验模型拟合的识别非均质轨迹层和特定层干预效应的灵活工具。然而,很少有人知道,我们如何可以使用的增长混合模型的结果作为强有力的证据,因果干预效果时,他们的识别严重依赖于经验拟合和参数假设。因果建模是指一种推理框架,其重点是澄清使因果解释成为可能的假设。这种方法的优势在于,因果推断的质量可以通过假设的科学合理性和基于这些假设的敏感性分析的质量来评估。尽管整合这两个框架的潜在好处很大,但迄今为止几乎没有进行过研究来探讨这种可能性。拟议的项目旨在指导这种整合,并提供一个实用的框架,因果推理占纵向异质性物质使用的发展。我们的调查将由两项干预研究的现有数据指导:青少年药物滥用预防研究(AS-APS:斯洛博达等人,2009)和约翰霍普金斯大学预防干预研究中心研究(JHU PIRC:Ialongo et al.,1999年)。该项目将使用最先进的增长混合建模方法对这些数据进行广泛的二次分析,特别是侧重于估计具有不同物质使用轨迹的群体之间的干预效果。我们希望我们的研究将促进高质量的二次分析,并通过改善对不同干预效果的评估以及对药物使用的影响,改善未来药物使用干预试验的设计。 确定将从干预中受益最多的亚群体。

项目成果

期刊论文数量(2)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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BOOIL JO其他文献

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{{ truncateString('BOOIL JO', 18)}}的其他基金

Data Management and Analysis Core
数据管理与分析核心
  • 批准号:
    10531473
  • 财政年份:
    2022
  • 资助金额:
    $ 21.21万
  • 项目类别:
Data Management and Analysis Core
数据管理与分析核心
  • 批准号:
    10698068
  • 财政年份:
    2022
  • 资助金额:
    $ 21.21万
  • 项目类别:
A Pragmatic Latent Variable Learning Approach Aligned with Clinical Practice
符合临床实践的实用潜变量学习方法
  • 批准号:
    10033908
  • 财政年份:
    2020
  • 资助金额:
    $ 21.21万
  • 项目类别:
A Pragmatic Latent Variable Learning Approach Aligned with Clinical Practice
符合临床实践的实用潜变量学习方法
  • 批准号:
    10212944
  • 财政年份:
    2020
  • 资助金额:
    $ 21.21万
  • 项目类别:
Methodology and Analyses Support Core
方法论和分析支持核心
  • 批准号:
    10219134
  • 财政年份:
    2018
  • 资助金额:
    $ 21.21万
  • 项目类别:
Methodology and Analyses Support Core
方法论和分析支持核心
  • 批准号:
    10450106
  • 财政年份:
    2018
  • 资助金额:
    $ 21.21万
  • 项目类别:
Heterogeneity in Prevention Intervention Effects On Substance Use: A Latent Varia
预防干预对药物使用影响的异质性:潜在变量
  • 批准号:
    8295939
  • 财政年份:
    2012
  • 资助金额:
    $ 21.21万
  • 项目类别:
Heterogeneity in Prevention Intervention Effects On Substance Use: A Latent Varia
预防干预对药物使用影响的异质性:潜在变量
  • 批准号:
    8457018
  • 财政年份:
    2012
  • 资助金额:
    $ 21.21万
  • 项目类别:
Heterogeneity Among Unobserved Subpopulations
未观察到的亚群之间的异质性
  • 批准号:
    6795634
  • 财政年份:
    2003
  • 资助金额:
    $ 21.21万
  • 项目类别:
Heterogeneity Among Unobserved Subpopulations
未观察到的亚群之间的异质性
  • 批准号:
    6897431
  • 财政年份:
    2003
  • 资助金额:
    $ 21.21万
  • 项目类别:
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