Inference on Survival Data with Covariate Measurement Error - An Imputation-based Approach
نویسندگان
چکیده
منابع مشابه
Inference on Survival Data with Covariate Measurement Error – An Imputation-based Approach
We propose a new method for fitting proportional hazards models with error-prone covariates. Regression coefficients are estimated by solving an estimating equation that is the average of the partial likelihood scores based on imputed true covariates. For the purpose of imputation, a linear spline model is assumed on the baseline hazard. We discuss consistency and asymptotic normality of the re...
متن کاملSurvival Analysis With Heterogeneous Covariate Measurement Error
This article is motivated by a time-to-event analysis where the covariate of interest was measured at the wrong time. We show that the problem can be formulated as a special case of survival analysis with heterogeneous covariate measurement error and develop a general analytic framework. We study the asymptotic behavior of the naive partial likelihood estimates and analytically demonstrate that...
متن کاملSpatial regression with covariate measurement error: A semiparametric approach.
Spatial data have become increasingly common in epidemiology and public health research thanks to advances in GIS (Geographic Information Systems) technology. In health research, for example, it is common for epidemiologists to incorporate geographically indexed data into their studies. In practice, however, the spatially defined covariates are often measured with error. Naive estimators of reg...
متن کاملPolynomial regression with normal covariate measurement error
This paper derives the exact functional form of an error contaminated regression function when the error free regression is a polynomial function of error free covariates (discrete or continuous) which are contaminated by normally distributed measurement error, with coe¢cients which may be arbitrary functions of error free covariates. The form of higher order central moment error contaminated r...
متن کاملFunctional Inference in Frailty Measurement Error Models for Clustered Survival Data Using the SIMEX Approach
We consider frailty models for clustered survival data in the presence of measurement errors in covariates. We rst show that when the measurement error is accounted for in a full likelihood analysis but the distribution of the unobserved covariate is misspeci ed, the maximum likelihood estimators are asymptotically biased, especially for the variance component, whose bias can be substantial....
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Scandinavian Journal of Statistics
سال: 2006
ISSN: 0303-6898,1467-9469
DOI: 10.1111/j.1467-9469.2006.00460.x