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首页> 外文期刊>American Journal of Mathematics and Statistics >On the Estimation of Survival of HIV/AIDS Patients on Antiretroviral Therapy Using NPMLE Method: An Application to Interval Censored Data
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On the Estimation of Survival of HIV/AIDS Patients on Antiretroviral Therapy Using NPMLE Method: An Application to Interval Censored Data

机译：NPMLE方法估计抗逆转录病毒疗法对HIV / AIDS患者的生存率：在区间检查数据中的应用

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The main objective of this paper is to estimate the survival of HIV/AIDS patients who are undergoing Antiretroviral Therapy in an ART centre, Delhi. Non Parametric Maximum Likelihood Estimation NPMLE (E-M) for interval censoring and KM survival plot for left, right and mid-point imputation have been used to estimate the survival of these patients. It has been observed that the mid-point imputed survival plot has a very similar and consistent pattern as obtained by NPMLE (E-M) method. Considering these mid-point imputed value as right censored data, Cox PH model and Accelerated Failure time Model (AFTM) have been applied to identify the effects of prognostic factors like age, sex, mode of transmission, baseline CD4 cell count, hemoglobin, baseline weight and smoking habits on survival of the patients. The Akaike Information Criterion (AIC) has been employed to compare the efficiency of these models and Cox-Snell residual is used to test the proportionality assumption.
机译：本文的主要目的是估计在德里ART中心接受抗逆转录病毒疗法的HIV / AIDS患者的生存情况。间隔检查的非参数最大似然估计NPMLE（E-M）和左，右和中点插补的KM生存图已用于估计这些患者的生存率。已经观察到，中点推算生存图具有通过NPMLE（E-M）方法获得的非常相似和一致的模式。考虑到这些中点估算值作为正确的检查数据，已使用Cox PH模型和加速失败时间模型（AFTM）来确定预后因素的影响，例如年龄，性别，传播方式，基线CD4细胞计数，血红蛋白，基线体重和吸烟习惯对患者的生存。已使用Akaike信息准则（AIC）来比较这些模型的效率，并使用Cox-Snell残差来测试比例假设。

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