Pearce N, Checkoway H
Am J Epidemiol. 1987 Jun;125(6):1085-91. doi: 10.1093/oxfordjournals.aje.a114624.
The use of grouped data methods, such as standardized rate ratios and Poisson regression, for the analysis of cohort studies has a number of attractive features. This approach, however, has not been widely used in the past because of the difficulty of generating person-time data required for the computation of rates, particularly when stratification on time-related factors is involved. This paper presents a simple Statistical Analysis System (SAS) program for the generation of such data in a form that can be read directly by GLIM and used in a Poisson regression analysis. In addition to its simplicity, the program has the advantage of considerable flexibility and involves no restrictions on the number of time-related factors or the number of levels of each factor. Furthermore, it can be modified easily for multiple disease outcomes and for analyses of the latency period, or empirical induction time.
使用分组数据方法（如标准化率比和泊松回归）来分析队列研究具有许多吸引人的特点。然而，由于生成计算率所需的人时数据存在困难，特别是当涉及按时间相关因素进行分层时，这种方法在过去并未得到广泛应用。本文介绍了一个简单的统计分析系统（SAS）程序，用于生成可直接由GLIM读取并用于泊松回归分析的此类数据形式。除了简单之外，该程序还具有相当大的灵活性，并且对时间相关因素的数量或每个因素的水平数量没有限制。此外，它可以很容易地针对多种疾病结局以及潜伏期或经验诱导期的分析进行修改。
