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American Journal of Epidemiology Vol. 125, No. 6: 1085-1091
Copyright © 1987 by The Johns Hopkins University School of Hygiene and Public Health

research-article

A SIMPLE COMPUTER PROGRAM FOR GENERATING PERSON-TIME DATA IN COHORT STUDIES INVOLVING TIME-RELATED FACTORS1

NEIL PEARCE and HARVEY CHECKOWAY

Reprint requests to Dr Neil Pearce at the Department of Community Health, Wellington Clinical School of Medicine, Wellington Hospital, Wellington, New Zealand

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 road directly by GUM 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.

prospective studies; statistics

1 From the Department of Epidemiology, School of Public Health, University of North Carolina, Chapel Hill, NC.


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