EPIDEMIOLOGIC METHODS FOR CASE-CONTROL/ECOLOGIC STUDIES

该项目的主要目的是研究一些统计数据， 流行病学数据分析中的问题。 所研究的问题是 与病例对照资料和生态流行病学分析相关 数据 由于优势比是许多流行病学分析的核心， 这项研究解决了模型构建中的优势比问题，或更多 一般是对数线性建模。 这项研究将对比选定的 统计估计和测试程序，使用计算机和 理论技术和方法学将被应用于选择癌症 病例对照数据集。 重点将放在与以下方面有关的问题上： 对数线性建模在面对众多的预测和分层 变量 这种情况不可避免地导致在选择方面的问题， 变量进行分析。 此外，由于存在许多变量， 交叉制表会导致稀疏的，也许是不完整的多维 tables. 这些问题都将在本研究中进行探讨。 对于生态流行病学数据， 发病率上升。 在本研究中， 将比较标准化或回归调整。 重点将 在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统计方法， 分析复杂的流行病学数据。 所研究的问题具有直接的 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.