DEVELOP METHODOLOGY FOR COMPLEX SAMPLE SURVEYS--PHASE II

EIFACS将使流行病学家和其他研究人员能够进行有效的 区域内复杂抽样设计调查数据的多变量分析 可视化用户界面PC环境。调查数据可以是字符 表格或特殊包生成的数据集(例如，SA)，以及 本地存储或连接到工作站或大型机(远程 处决)。程序包括：加权kappa、四重表(FFT)、 分层FFT，判别分析，多分类Logistic回归， 结构方程建模和比例风险生存 分析。方差估计由泰勒级数线性化或 重新采样。允许所有实用的抽样设计规范。 此外，还提供了与SUDAAN(另一项复杂调查)的接口 包)，使EIFACS定义的数据能够以可视方式设置 外国行刑。这项工作将在早期开发的IFACS的基础上进行扩展 体现相同概念的系统。研究计划包括： 需求更新、软件功能规范、新的和增强的 程序开发(算法、代码、阿尔法测试、蒙特卡洛 模拟)、用户界面改进、分析前增强 (转换/重新编码、缺失值推算等)、远程 执行改进、测试版测试、文档编制和最终安装 在NIAAA。

EIFACS will enable epidemiologists and other researchers to perform valid multivariate analyses on complex-sampling-design survey data within a visual user-interface PC environment. The survey data may be in character form or in special package-generated data sets (e.g., SAS) and either locally stored or at a connected workstation or mainframe (remote execution). Procedures include: weighted kappa, fourfold tables (fft), stratified fft, discriminant analysis, polytomous logistic regression, structural equations modeling, and proportional hazards survival analysis. Variances are estimated by Taylor series linearization or resampling. All practical sampling design specifications are permitted. Additionally, an interface is provided to SUDAAN (another complex survey package) which enables EIFACS defined data to be visually set up for foreign execution. This effort will expand on the earlier developed IFACS system which embodies the same concept. The research plan includes: requirements update, software functional specification, new and augmented procedures development (algorithms, code, alpha-test, Monte Carlo simulation), user-interface improvement, pre-analysis augmentation (transformation/recoding, missing value imputation, etc.), remote execution refinement, beta testing, documentation, and final installation at NIAAA.