Development of the theory and program for the survival time model with covariates subject to measurement error.

开发具有测量误差的协变量的生存时间模型的理论和程序。

基本信息

批准号：
05680253
负责人：
NAKAMURA Tsuyoshi
金额：
$ 0.64万
依托单位：
Nagasaki University
依托单位国家：
日本
项目类别：
Grant-in-Aid for General Scientific Research (C)
财政年份：
1993
资助国家：
日本
起止时间：
1993 至 1994
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-05680253/
关键词：
Measurement Error Regression Model Misclassification Survival Time Analysis Atomic Bomb Survivors Framingham Hear Study Data 比例ハザードモデル

项目摘要

The paper describing the theoretical aspects of the method for the proportional hazards measurement error model, or generally referred to as the Cox-regression model, has been published from the Environmental Health Perspectives and a FORTRAN program implementing the method from the Computer Methods and Programs in Biology and Medicine. We have also constructed a method for finding asymptotically unbiased estimates adjusting for the misclassification in discrete convariate models and reported the results at the Joint Conference for the International Society for the Envirobnmental Epidemiology and the Exposure Analysis (REsearch Triangle Park, North Carolina, 1994), which is under preparation for submitting for publication in certain European journal.Analysis of the effect of the radiation doses on the A-bomb survivors followed-up by the Radiation Effect Research Foundation is as important application of the results of this study project. Not very reliable method has been proposed by so … More me statisticians of RERF for the analysis adjusting for the uncertainty of the dose-estimation, which failed to obtain even variance estimation of the estimates. Considering the importance of the results of the analysis for social life and political decision, we have developed a theory to apply the method obtained from this research project to the A-bomb survivors data to find mor reliable estimates for the radiation dose effects on human mortality. The method basically assumes the Poisson regression model, like RERF,and proposes a simple correction to the likelihood, which yields asymptotically unbiased estimates with valid variance estimates. Since we have obtained the summary data from RERF,we will analyze it with the method after close investigation into the data structure.We have also obtained a magnetic tape including the Framingham Heart Study Follow-up Data from NIH to apply the developed method to find out the effect of cholesterol and/or blood pressure on the cardiovascular risk adjusting for the measurement error in those laboratory test results.Thus we have successfully finished the study project, published the main results from well circulated journals and are going to apply the results to some of the important cohort data. Less

描述比例风险测量误差模型（或通常称为 Cox 回归模型）方法的理论方面的论文已发表在《环境健康视角》中，并且有一个 FORTRAN 程序实现了《计算机方法和程序》中的方法。我们还构建了一种方法，用于寻找离散协变量模型中错误分类的渐近无偏调整估计，并在国际环境流行病学和医学学会联席会议上报告了结果。暴露分析（三角研究园，北卡罗来纳州，1994），正在准备提交在某些欧洲期刊上发表。辐射效应研究基金会跟踪的辐射剂量对原子弹幸存者的影响分析RERF 的统计学家提出了不太可靠的方法来调整剂量估计的不确定性，但未能获得估计的均匀方差估计，这是该研究项目结果的重要应用。。考虑到分析结果对社会生活和政治决策的重要性，我们开发了一种理论，将本研究项目获得的方法应用于原子弹幸存者数据，以找到更可靠的辐射剂量对人类死亡率影响的估计该方法基本上假设泊松回归模型，如 RERF，并提出对似然性的简单修正，从而产生具有方差有效估计的渐近无偏估计，我们将使用后面的方法对其进行分析。密切调查我们还获得了包含来自 NIH 的弗雷明汉心脏研究随访数据的磁带，以应用开发的方法来找出胆固醇和/或血压对心血管风险的影响，调整测量误差这些实验室测试结果。因此，我们已经成功完成了该研究项目，发表了来自被毁坏的期刊的主要结果，并将这些结果应用于一些重要的队列数据。