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作 者:李会庆 李韦华 金世宽[1,2,3] 李颢[1,2,3] 周涛
机构地区:[1]山东省医科院基础所 [2]天津大学化工学院 [3]山东医科大学
出 处:《中国卫生统计》1998年第6期12-15,共4页Chinese Journal of Health Statistics
基 金:山东省自然科学基金
摘 要:目的:研究年龄、时期和出生队列对疾病的效应的定量分析方法。方法:采用Kupper数学模型,用矩阵的三角分解法求解,对三因素的各个亚层成分效应大小的定量参数估计。结果:分析表明栖霞县宫颈癌死亡率下降与时期和出生队列因素有关。Objective:A quantitative analysis of the effects of age,period,and cohort in vital rates for infectious or noninfectious diseases was carried out in this paper.Methods:The mathematical model created by Kupper had been edited a computer program using FORTRAN language to calculate the regression coefficients of age,time and cohort.The data of mortality of cervical cancer in Qixia County as an example to analysis.Result:The decline trend of cervical cancer mortality related to the period and cohort factors.The effects of 1985~1989 and 1990~1994 were lower than that of 1970~1974,and the effects of 1935~ to 1955~ birth cohort were less than that of 1930~ and over birth cohorts.Conclusion:In this APC analysis when taking the regression coefficients of age,time and cohort you must consider the values of coefficients in accordance with the results of total quantitataive and qualitative analysis of them.
分 类 号:R195[医药卫生—卫生统计学]
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