Statistics & Health Economics

旧金山治疗研究中心的统计和健康经济学核心提供了完整的 为该中心的三项核心和关键活动提供持续支持：数据管理、统计和经济分析。具体目标是：(1)提供数据管理，为研究数据的收集、计算机录入和跟踪提供结构、支持、协调和监督，包括所有中心数据的安全性和完整性。(2)为每个成分提供方法学咨询和生物统计分析。(3)对旨在加强全中心研究的量化方法进行研究。(4)评估创新治疗的成本和创新对其他卫生保健成本的影响，使用经济模型评估治疗结果，并将这些数据结合在成本-效果分析中。该中心还将牵头进行三项关于吸烟者类型复杂性的计划研究、一项荟萃分析和一项跨领域的经济研究。根据我们工作的性质，这一核心与中心的主题密切相关，是中心所有拟议构成部分，包括跨构成部分研究的关键资源。对复杂患者的持续和复杂治疗的研究需要收集、管理和分析复杂的数据集。围绕这一主题，我们使用了严格的方法，其中大部分来自临床试验，结合了疗效和成本效益分析，做了弥合治疗和服务研究之间差距的工作，并分析了多种风险因素之间的关系，既作为预测因素，也作为时间依赖协变量。该核心提供所有组成部分研究的量化活动，并将其工作与科学和行政核心结合起来。

The Statistics and Health Economics Core of the San Francisco Treatment Research Center provides full and ongoing supports for three central and critical activities ofthe Center; data management, statistical, and economic analysis. The specific aims are; (1) To provide data management by supplying structure, support, coordination and oversight for the collection, computer entry, and tracking of research data, including the security and integrity of all Center data. (2) To provide methodological consultation and biostatistical analyses for each component. (3) To conduct research into quantitative methods designed to enhance Center-wide research. (4) To assess the cost of innovative treatments and the impact of the innovations on other health care costs incurred, to value treatment outcomes using economic models and to combine these data in cost-effectiveness analyses. The Core will also take the lead on three planned studies of the complexity of types of cigarette smokers, a meta-analysis, and a cross-cutting economic study. By the very nature of our work this Core is intimately tied to the theme of the Center as a key resource for all proposed Center components including the cross-component studies. Research on continuing and complex treatment for complex patients requires 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 costeffectiveness 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.