生命统计资料中年龄和时期趋势效应的估计  

Estimating the Effects of Age and Temporal Variation for Vital Data

作　　者：沈其君[1] 

机构地区：[1]南京铁道医学院预防医学系

出　　处：《中国卫生统计》1992年第1期6-9,共4页Chinese Journal of Health Statistics

摘　　要：本文提出了生命统计资料分析中的年龄-时期、年龄-队列和年龄-线性趋势三个概率模型。这些模型可定量估计发病率或死亡率的年龄效应、时期效应和出生队列效应以及组间的相对危险度;并可提取到“纯”年龄别发病或死亡率。应用这些模型对女性肺癌死亡率和乳腺癌发病率资料进行拟合,结果表明是十分有效的。This paper presents age-period model, age- cohort model and age-drift model for analysing vital data.These models may estimate the effects of age period or cohort for incldence or morta- lity rate and the relative risk of any two vari- ous age, period or cohort groups among these groups, and extract 'pure' age-specific incidence or mortality rate. Analysing data of mortality rate of lung cancer in Belgian females and inc- idence rate of breast cancer in Iceland females shows that these methods are quite effective.

关 键 词：年龄 时期 队列模型 生命统计 

分 类 号：R195.1[医药卫生—卫生统计学]