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Joint nonparametric correction estimator for excess relative risk regression in survival analysis with exposure measurement error.
The Journal of the Royal Statistical Society, Series B (Statistical Methodology) ( IF 5.8 ) Pub Date : 2018-01-23 , DOI: 10.1111/rssb.12230
Ching-Yun Wang 1 , Harry Cullings 2 , Xiao Song 3 , Kenneth J Kopecky 1
Affiliation  

Observational epidemiological studies often confront the problem of estimating exposure-disease relationships when the exposure is not measured exactly. In the paper, we investigate exposure measurement error in excess relative risk regression, which is a widely used model in radiation exposure effect research. In the study cohort, a surrogate variable is available for the true unobserved exposure variable. The surrogate variable satisfies a generalized version of the classical additive measurement error model, but it may or may not have repeated measurements. In addition, an instrumental variable is available for individuals in a subset of the whole cohort. We develop a nonparametric correction (NPC) estimator using data from the subcohort, and further propose a joint nonparametric correction (JNPC) estimator using all observed data to adjust for exposure measurement error. An optimal linear combination estimator of JNPC and NPC is further developed. The proposed estimators are nonparametric, which are consistent without imposing a covariate or error distribution, and are robust to heteroscedastic errors. Finite sample performance is examined via a simulation study. We apply the developed methods to data from the Radiation Effects Research Foundation, in which chromosome aberration is used to adjust for the effects of radiation dose measurement error on the estimation of radiation dose responses.

中文翻译:

联合非参数校正估计量用于暴露分析误差下生存分析中的过度相对风险回归。

当没有精确测量暴露量时,观察流行病学研究通常会面临估计暴露量与疾病之间关系的问题。在本文中,我们研究了过度相对风险回归中的暴露测量误差,这是辐射暴露效应研究中广泛使用的模型。在研究队列中,替代变量可用于真实的未观察到的暴露变量。替代变量满足经典加性测量误差模型的通用版本,但是它可能具有或可能没有重复测量。此外,工具变量可用于整个队列中一个子集的个体。我们使用亚人群的数据开发了非参数校正(NPC)估算器,并进一步提出一种联合非参数校正(JNPC)估计器,该估计器使用所有观察到的数据来调整曝光测量误差。进一步发展了JNPC和NPC的最优线性组合估计量。拟议的估计量是非参数的,在不施加协变量或误差分布的情况下是一致的,并且对异方差误差具有鲁棒性。通过模拟研究检查有限的样品性能。我们将开发的方法应用到辐射效应研究基金会的数据中,其中染色体畸变用于调整辐射剂量测量误差对辐射剂量响应估计的影响。在不施加协变量或误差分布的情况下保持一致,并且对异方差误差具有鲁棒性。通过模拟研究检查有限的样品性能。我们将开发的方法应用于来自辐射效应研究基金会的数据,其中染色体畸变用于调整辐射剂量测量误差对估计辐射剂量响应的影响。在不施加协变量或误差分布的情况下保持一致,并且对异方差误差具有鲁棒性。通过模拟研究检查有限的样品性能。我们将开发的方法应用到辐射效应研究基金会的数据中,其中染色体畸变用于调整辐射剂量测量误差对辐射剂量响应估计的影响。
更新日期:2019-11-01
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