Analysis of the interval-censored survival data with mismeasured covariates

协变量测量错误的区间删失生存数据分析

• 批准号: 22700294
• 负责人: TANAKA Sachiko
• 金额: $ 1.33万
• 依托单位: Kyoto University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Young Scientists (B)
• 财政年份: 2010
• 资助国家: 日本
• 起止时间: 2010 至 2011
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-22700294/
• 关键词: 測定誤差; 区間打ち切りデータ; 糖尿病; 生存時間解析; 測定誤差モデル; 生存時間データ解析; 区間打ち切り; 糖尿病合併症

There has been substantial effort devoted to the analysis of right-censored survival data with covariates that are subject to measurement error. However, interval survival data with covariate measurement error are to be less investigated. Song and Ma(Stat Med, 2008) extended the conditional score method to interval-censored data by using multiple augmentation approach and requires computational burden. Zhang and Davidian(Biometrics, 2008) proposed the general framework for semiparametric regression analysis of interval-censored data by using seminonparametric(SNP) density. We extend Zhang's semiparametric analysis of interval-censored data to covariate measurement error problem. We evaluate the performance of the proposed method through the simulation examination.

有大量的努力致力于右删失生存数据的协变量，是受测量误差的分析。然而，区间生存数据与协变量测量误差的研究较少。Song和Ma（Stat Med，2008）通过使用多重增强方法将条件评分方法扩展到区间删失数据，并需要计算负担。Zhang和Davidian（Biometrics，2008）提出了使用单参数（SNP）密度进行区间删失数据半参数回归分析的一般框架。本文将区间删失数据的半参数分析推广到协变量测量误差问题。我们通过仿真实验来评估所提出的方法的性能。