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QUANTITATIVE CORE

QUANTITATIVE CORE
定量核心
批准号:
7681748
负责人:
Kevin L. Delucchi
金额:
$35.16万
依托单位国家:
美国
项目类别:
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-09-01 至 2009-08-31

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中文摘要
翻译
治疗研究中心(TRC)的定量核心为中心的三个中心和关键活动提供全面和持续的支持;数据管理,统计和经济分析。该核心的具体目标是:(1)通过提供收集、计算机输入和跟踪研究数据的结构、支持、协调和监督,包括所有真相与和解委员会数据的安全性和完整性,提供数据管理。(2)为每个组成部分提供方法学咨询和生物统计分析。(3)评估创新治疗的成本以及创新对研究参与者产生的其他医疗保健成本的影响,并使用经济模型评估治疗结果,并将这些数据联合收割机用于成本效益分析。由于我们工作的性质,这一核心与真理与和解委员会的主题密切相关,是所有拟议的真理与和解委员会组成部分和跨组成部分综合研究的关键资源。对复杂患者行为的研究需要收集、管理和分析复杂的数据集。与主题相一致,我们使用严格的方法,其中大部分来自临床试验,联合收割机的疗效和成本效益分析,做的工作,桥梁治疗和服务研究之间的差距,并分析多个风险因素之间的关系,既作为预测因子和时间依赖的协变量。该核心提供所有组成部分研究的定量活动,并将其工作与科学和行政核心相结合。
英文摘要
The Quantitative Core of the Treatment Research Center (TRC) provides full and ongoing supports for three central and critical activities of the Center; data management, statistical, and economic analysis. The specific aims of this Core are; (1) To provide data management by supplying the structure, support, coordination and oversight for collection, computer entry, and tracking of research data including the security and integrity of all TRC data. (2) To provide methodological consultation and biostatistical analyses for each component. (3) To assess the cost of innovative treatments and the impact of the innovations on other health care costs incurred by study participants and to value treatment outcomes using economic models and to combine these data in cost-effectiveness analyses. By the very nature of our work this Core is intimately tied to the theme of the TRC as a key resource for all proposed TRC components and the cross-component integrative studies. Research on the behaviors of complex patients require the collection, management, and analysis of complex datasets. In concert with the theme we use rigorous methodology, much of it derived from clinical trials, combine efficacy and cost-effectiveness analysis, do work that bridges the gap between treatment and services research and analyze relations between multiple risk factors, both as predictors and time dependent covariates. This Core supplies the quantitative activities of all component studies and integrates its work with the Scientific and Administrative Core.
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