摘要
近年来,APC泊松对数线性回归模型已被广泛应用于分析各种慢性疾病的常规登记资料。它改善了传统的疾病描述性分析方法,可在同时调整年龄、时期和出生队列等因素的条件下,定量估计一定特征人群的疾病发生或死亡危险性。
Poisson Regression modelling of age, period
and cohort data has recently received consider-
able attention in the descriptive analysis of many
chronic diseases. The statistical modelling prov-
ides a useful modification for traditional descri-
ptive epidemiology through quantifying the sep-
arate or interactive effects of three factors age,
period, and cohort.
出处
《中国卫生统计》
CSCD
北大核心
1992年第1期13-17,共5页
Chinese Journal of Health Statistics
