Statistics & Health Economics

旧金山弗朗西斯科治疗研究中心的统计和卫生经济学核心提供了全面的 并持续支持中心的三项核心和关键活动：数据管理、统计和经济分析。具体目标是：（1）通过为研究数据的收集、计算机录入和跟踪提供结构、支持、协调和监督来提供数据管理，包括所有中心数据的安全性和完整性。(2)为每个组成部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定量方法进行研究。(4)评估创新治疗的成本以及创新对其他医疗保健成本的影响，使用经济模型评估治疗结果，并在成本效益分析中结合联合收割机这些数据。该中心还将牵头进行三项计划中的研究，即关于吸烟者类型复杂性的研究、一项荟萃分析和一项跨领域经济研究。由于我们工作的性质，该核心与中心的主题密切相关，是所有拟议中心组成部分（包括跨组成部分研究）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。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和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。

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.