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Statistical Analysis of AIDS Treatment Effectiveness Based on Longitudinal Data Semi-parametric Model

机译:基于纵向数据半参数模型的艾滋病治疗效能的统计分析

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Purpose: In this paper, based on the longitudinal data semi-parametric statistical model, the treatment data of more than 1300 AIDS patients are analyzed. Considering the influence of different treatment schemes, age and treatment time on the number of CD4 in patients. Procedures: the co-variance matrix structure of the same individual is considered based on the semi-parametric model, and the parameter estimation value is calculated by using the simulated annealing algorithm. Conclusion: A conclusion about the effect of AIDS treatment is drawn, we get that the scheme 4 is the best treatment scheme under the condition of controlling for the same value of other independent variables, and the trajectory of the average number of CD4 over time is plotted. The new and original in this paper is that Simulated annealing algorithm is used to find the global optimal solution, The proposed procedures can analyze the influencing factors of AIDS treatment more accurately.
机译:目的:本文基于纵向数据半参数统计模型,分析了超过1300名艾滋病患者的治疗数据。考虑不同治疗方案,年龄和治疗时间对患者CD4数量的影响。过程:基于半参数模型考虑相同个体的共方矩阵结构,并且通过使用模拟退火算法计算参数估计值。结论:得出关于艾滋病治疗的效果的结论,我们得到了方案4是控制相同值的相同价值的条件下的最佳处理方案,以及随着时间的推移平均CD4的轨迹绘制。本文的新和原创是模拟退火算法用于寻找全球最佳解决方案,所提出的程序可以更准确地分析艾滋病治疗的影响因素。

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