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STATISTICAL SUPPORT/DATA MANAGEMENT CORE

STATISTICAL SUPPORT/DATA MANAGEMENT CORE
统计支持/数据管理核心
批准号:
6816382
负责人:
MARY-LYNN BRECHT
金额:
$23.94万
依托单位国家:
美国
项目类别:
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-09-01 至 2010-08-31

项目摘要

项目成果

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中文摘要
翻译
统计支助和数据管理(SS&DM)核心将促进使用先进的统计方法分析纵向数据并以成本效益高的方式获取和管理纵向数据,从而推动推进纵向药物滥用研究中心的主题。具体目标是:1)就与药物滥用及其与药物治疗和其他服务系统的相互作用的纵向研究特别相关的分析问题向中心研究人员提供统计咨询;2)制定和提供关于纵向数据分析的统计教育计划,专门针对药物滥用研究应用;3)对综合和/或跨多项研究的数据进行分析 为开发、扩展、比较和验证复杂模型提供咨询;4)就有效获取和处理高质量数据的战略提供咨询;5)促进中心项目获取数据的可及性和可比性。核心活动将包括就统计和数据相关问题向中心支持和协作的研究人员提供咨询;制定程序、实例和应用程序以支持咨询;为统计学家、研究人员和研究成果消费者举办讲习班;以及跨项目分析。分析方法将包括广义线性/非线性 增长曲线、多水平、多组模型的隐变量模型和结构方程建模。核心工作人员将与中心和合作研究人员合作,确定和完善与药物使用轨迹及其与药物治疗、刑事司法和心理健康等服务系统互动有关的研究问题和假设。应努力改进分析方法的应用,提高数据质量,更有效地利用研究成果,并提高生产率。
英文摘要
The Statistical Support and Data Management (SS&DM) Core will promote the theme of the Center for Advancing Longitudinal Drug Abuse Research by facilitating the use of advanced statistical methods for analysis of longitudinal data and the cost-effective acquisition and management of longitudinal data. Specific aims are: 1) provide statistical consultation to Center researchers on analysis issues specifically relevant to longitudinal research on drug abuse and its interaction with drug treatment and other service systems; 2) develop and deliver a program of statistical education on analysis of longitudinal data, specialized to drug abuse research applications; 3) conduct analysis of data combined and/or compared across multiple studies in order to develop, expand, compare, and validate complex models; 4) provide consultation on strategies for the efficient acquisition and processing of high quality data; and 5) promote the accessibility and comparability of data acquired by Center projects. Core activities will include consultation to Center-supported and collaborating researchers on statistical and data-related issues; development of procedures, examples and applications to support consultation; workshops for statisticians, researchers, and consumers of research results; and cross-project analyses. Analytic methods will include generalized linear/non-linear models and structural equation modeling with latent variables for growth curves, multi-level, and multiple group models. Core staff will work with Center and collaborating researchers to identify and refine research questions and hypotheses related to drug use trajectories and their interaction with service systems such as drug treatment, criminal justice, and mental health. Efforts should lead to improved application of analytic methods, better data quality, more effective use of research results, and increased productivity.
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Methamphetamine Abuse: Long-Term Trajectories, Correlates, Treatment Effects
Methamphetamine Abuse: Long-Term Trajectories, Correlates, Treatment Effects
Methamphetamine Abuse: Long-Term Trajectories, Correlates, Treatment Effects
Methamphetamine Abuse: Long-Term Trajectories, Correlates, Treatment Effects
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