Spatial regression with covariate measurement error: A semiparametric approach
نویسندگان
چکیده
منابع مشابه
Spatial 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 کاملBroken Biological Size Relationships: A Censored Semiparametric Regression Approach with Measurement Error
Biological size relationships, i.e., regression of one size variable on another are typically monotone but often break down at extreme values of the variables. Here we study the way a plant's biomass is apportioned to reproductive and other life activities. Working with a theory proposed by Weiner (1988) which is based upon an analogy between a biological plant and an industrial plant leads to ...
متن کاملEstimation of the hazard function in a semiparametric model with covariate measurement error
We consider a failure hazard function, conditional on a time-independent covariate Z, given by ηγ0(t)fβ0(Z). The baseline hazard function ηγ0 and the relative risk fβ0 both belong to parametric families with θ = (β, γ0)> ∈ R. The covariate Z has an unknown density and is measured with an error through an additive error model U = Z + ε where ε is a random variable, independent from Z, with known...
متن کاملCorrection for covariate measurement error in nonparametric regression
Many areas of applied statistics have become aware of the problem of measurement error-prone variables and their appropriate analysis. Simply ignoring the error in the analysis usually leads to biased estimates, like e.g. in the regression with error-prone covariates. While this problem has been discussed at length for parametric regression, only few methods exist to handle nonparametric regres...
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: Biometrics
سال: 2016
ISSN: 0006-341X
DOI: 10.1111/biom.12474