Boulier B L, Paqueo V B
Department of Economics, George Washington University, Washington, D.C. 20052.
Demography. 1988 May;25(2):249-63.
This article develops a model of mortality that shows how biological, demographic, and environmental factors interact to affect an individual's probability of dying. To illustrate the usefulness of the model, we derive from it (as special cases) the Brass system of model life tables and the proportional-hazard mortality model and apply a logit version of the model to analyze the determinants of child mortality in Sri Lanka.
本文建立了一个死亡率模型，该模型展示了生物、人口统计学和环境因素如何相互作用以影响个体的死亡概率。为了说明该模型的实用性，我们从该模型（作为特殊情况）推导出布拉斯模型生命表系统和比例风险死亡率模型，并应用该模型的一个逻辑版本来分析斯里兰卡儿童死亡率的决定因素。
