Expected social utility of life time in the presence of a chronic disease
构建了一个统计模型，用于评估减少不可逆慢性非传染性疾病干预措施对人群寿命和发病时间的影响，并定义了三维效用函数来评判这种变化。
Interventive action aimed at reducing the incidence of an irreversible chronic noncommunicable disease in a population has various effects. Hopefully, it increases total longevity in the population and it causes the disease to develop later in time in a smaller portion of the population. In this paper a statistical model is built by which these effects can be estimated. A three dimensional probability density function that underlies this model is changed by the interventive action. It is shown how a three dimensional utility function can be defined to appropriately judge this change.