Trussell J, Preston S
Health Policy Educ. 1982 May;3(1):1-36. doi: 10.1016/0165-2281(82)90022-4.
In this paper we compare various models for estimating the covariates of childhood mortality from the type of data commonly available in developing countries. Specifically, we examine how much precision is lost as various pieces of information, such as dates of birth and death for each child, are discarded. The conclusion which we reach is that even incomplete mortality data of the type collected in household surveys or censuses can yield estimates which are very close to those based on the much richer wealth of data collected in detailed maternity histories. Two substantive conclusions of interest are that in the two countries (Sri Lanka and Korea) we examined, the education of the father has a significant and pronounced effect on childhood mortality even when the mother's education is controlled, and once other covariates are controlled, there is no difference between urban and rural childhood mortality.
在本文中,我们比较了多种模型,这些模型用于根据发展中国家通常可获取的数据类型来估计儿童死亡率的协变量。具体而言,我们研究了随着诸如每个孩子的出生日期和死亡日期等各种信息被舍弃,会损失多少精度。我们得出的结论是,即使是家庭调查或人口普查中收集的那种不完整的死亡率数据,也能得出与基于详细生育史中收集的丰富得多的数据得出的估计值非常接近的结果。两个有意思的实质性结论是,在我们研究的两个国家(斯里兰卡和韩国),即使控制了母亲的教育程度,父亲的教育程度对儿童死亡率仍有显著且明显的影响,并且一旦控制了其他协变量,城乡儿童死亡率之间就没有差异。