Manton K G, Lowrimore G, Yashin A
Math Popul Stud. 1993;4(2):133-47, 149. doi: 10.1080/08898489309525365.
"We present a mortality model where nationally representative survey data on risk factor distributions are combined with data on cohort mortality rates to increase information, i.e., a fixed marginal risk factor distribution is combined with a cohort model representing unobserved individual risk heterogeneity. The model is applied to lung cancer mortality in nine U.S. white male cohorts aged 30 to 70 in 1950 and followed 38 years. Estimates of the cohort specific proportions of smokers were made from the National Health Interview Survey. Comparisons are made for models with different patterns of changes with age of individual heterogeneity." (SUMMARY IN FRE)
我们提出了一种死亡率模型，该模型将关于风险因素分布的全国代表性调查数据与队列死亡率数据相结合，以增加信息，即固定的边际风险因素分布与代表未观察到的个体风险异质性的队列模型相结合。该模型应用于1950年年龄在30至70岁之间的9个美国白人男性队列的肺癌死亡率，并随访了38年。根据国家健康访谈调查得出了各队列中吸烟者的特定比例估计值。对具有不同个体异质性随年龄变化模式的模型进行了比较。 （法语摘要）
