Langohr Klaus, Gómez Guadalupe, Muga Robert
Departament d'Estadística i Investigació Operativa, Universitat Politècnica de Catalunya, Pau Gargallo 5, 08028 Barcelona, Spain.
Stat Med. 2004 Oct 30;23(20):3159-75. doi: 10.1002/sim.1892.
We present a parametric survival model whose particularity consists in the inclusion of an interval-censored covariate. The methodology is motivated by a study on injecting drug users in Badalona (Spain), most of whom suffered HIV infection as a result of their drug addiction. The study aims to examine the possible association between the elapsed time from first injecting drug use until HIV infection and the subsequent AIDS incubation period. Whereas the moment of HIV infection cannot be observed exactly and is therefore interval-censored, time until AIDS onset is doubly-censored. For the maximization of the resulting likelihood function, we use a numerical solver. Maximization is carried out by means of the mathematical programming language AMPL.
我们提出了一种参数生存模型,其特殊性在于纳入了区间删失协变量。该方法是受一项针对西班牙巴达洛纳注射吸毒者的研究启发而来,其中大多数人因吸毒成瘾而感染了艾滋病毒。该研究旨在探讨从首次注射吸毒到感染艾滋病毒的 elapsed 时间与随后的艾滋病潜伏期之间可能存在的关联。鉴于无法精确观察到艾滋病毒感染的时刻,因此是区间删失的,而直到艾滋病发病的时间是双重删失的。为了使所得似然函数最大化,我们使用了数值求解器。最大化是通过数学编程语言AMPL进行的。