Yaari S, Goldbourt U
Computing Center, Bar-Ilan University, Ramat Gan, Israel.
Comput Biol Med. 1989;19(5):353-9. doi: 10.1016/0010-4825(89)90056-5.
A SAS macro, written to evaluate person-years of exposure in longitudinal studies, is presented in this paper. The program has the advantage of stratification by age groups and chronological subperiods, a feature recommended in long-term studies, involving temporal changes in patterns of outcome. The program creates a data set that can be utilized to calculate age-adjusted incidence rates in categories of risk factors for morbidity and mortality.
本文介绍了一个用于评估纵向研究中暴露人年数的SAS宏程序。该程序具有按年龄组和按时间顺序划分的子时间段进行分层的优点,这是长期研究中推荐的一个特征,涉及到结局模式的时间变化。该程序创建了一个数据集,可用于计算发病率和死亡率风险因素类别中的年龄调整发病率。