DEVELOP A MEDICARE CDROM FOR CANCER STUDIES

描述：这项SBIR赠款的目的是模拟 充满虚拟人的癌症研究信息的联邦医疗保险数据库 NCHS SET软件中嵌入的记录。中的数据值 虚拟记录必须按年龄、种族、地点等进行分布。 类似于实际记录中的值分布，因此 使用它们的计算将是有用的。这样的虚拟数据库可以提供 在成本、易用性和机密性方面具有显著优势 对使用真实数据的限制，用于初步/介绍性使用 Medicare数据集--当然，它们不能取代使用REAL 用于研究研究的数据。在阶段I中，构建了虚拟数据集 用于前列腺癌和女性乳腺癌的医疗保险1994年 住院病人标准分析档案采用分层平均法和 抽样(保存)技术。HCFA批准了前列腺假数据- 模拟一般发布，没有保密限制。 第二阶段将增强虚拟模拟系统，以包括 癌症，更好地代表种族分布，招生/ 人口“分母”数据，SEER-Medicare链接系统(Potosky 93)和其他方面。也许标准化的虚拟协议可以 将被开发，导致对许多分布进行类似的模拟- 敏感的医学数据集。 建议的商业应用： 建议的商业应用是教育材料，用于 学生和研究人员。项目产品(CD-ROM和Web)将实现 用户无需高成本即可熟悉Medicare和SEER数据 或隐私责任，并通过估计关键字来设计研究 数据的属性。教程将说明癌症研究的方法 使用联邦医疗保险数据。

DESCRIPTION: The purpose of this SBIR grant is to make simulated MEDICARE databases of cancer research information filled with dummy records embedded in the NCHS SETS software. The data values in the dummy records must be distributed by age, race, location, etc. similarly to the distribution of values in the real records so that computations using them will be useful. Such dummy databases could offer significant advantages in cost, ease of use and confidentiality restrictions over using real data, for preliminary/introductory use of MEDICARE datasets -- though of course they could not replace using real data for research studies. In Phase I, dummy datasets were constructed for prostate cancer and female breast cancer from the MEDICARE 1994 Inpatient Standard Analytical File using a Stratified Averaging and Sampling (SAVES) technique. HCFA approved the prostate dummy data- simulation for general release with no confidentiality restrictions. Phase-II will enhance the dummy simulation system to include additional cancers, better representation of racial distributions, enrollment/ population "denominator" data, the SEER-MEDICARE link system (Potosky 93) and other aspects. Perhaps a standardized dummying protocol could be developed, leading to similar simulations for many distribution- sensitive medical datasets. PROPOSED COMMERCIAL APPLICATION: The proposed commercial applications are Educational Materials for students and researchers. Project products (CD-ROM and Web) will enable users to become familiar with MEDICARE & SEER data without high costs or privacy liabilities, and to design studies by estimating key properties of data. Tutorials will illustrate methods of cancer research using medicare data.