EPIDEMIOLOGIC METHODS FOR CASE-CONTROL/ECOLOGIC STUDIES

这个项目的主要目的是研究一些统计数字 流行病学数据分析中的问题。所研究的问题有 与病例对照资料分析和生态流行病学相关 数据。由于优势比构成了许多流行病学分析的核心， 这项研究解决了用赔率比或更高的比率建立模型的问题 一般采用对数线性建模。这项研究将对比选择 使用计算机和计算机的统计估计和检验程序 理论技术和方法论将应用于癌症选择 病例对照数据集。重点将放在与以下方面相关的问题上 面对众多预报器和分层的对数线性建模 变量。这种情况不可避免地会导致在选择 用于分析的变量。此外，由于变量众多，导致 交叉表导致稀疏的，也许是不完整的多维 桌子。本研究将对这些问题进行研究。 对于生态流行病学数据，标准化问题 发病率上升。在这项研究中，不同的费率方法 将标准化或回归调整进行比较。强调将 关注流行病学分析中通常出现的问题 数据。 这项研究将导致改进的统计方法 对复杂的流行病学数据进行分析。所研究的问题具有迫切性 对流行病学数据分析的影响。

The principal aims of this project are to study a number of statistical problems in the analysis of epidemiologic data. The problems studied are relevant to the analysis of case-control data and ecologic epidemiologic data. Since odds ratios form the nucleus of many epidemiologic analyses, this research addresses issues in model building with odds ratios, or more generally log-linear modeling. This research will contrast selected statistical estimation and testing procedures using both computer and theoretical techniques and the methodology will be applied to select cancer case-control data sets. The focus will be on problems associated with log-linear modeling in the face of numerous predictor and stratification variables. Such situations inevitably lead to problems in the selection of variables for analysis. Furthermore, with numerous variables the resulting cross-tabulations lead to sparse, perhaps incomplete multidimensional tables. These problems will be studied in this research. For ecologic epidemiological data, the issue of standardization of incidence rates arises. In this research various methods of rate standardization or regression adjustment will be compared. Emphasis will be on the problems which typically arise in the analysis of epidemiologic data. This research will lead to improved statistical methodology for the analysis of complex epidemiologic data. The issues studied have immediate implications for the analysis of epidemiologic data.