A Regularization Corrected Score Method for Nonlinear Regression Models with Covariate Error
نویسندگان
چکیده
منابع مشابه
A regularization corrected score method for nonlinear regression models with covariate error.
Many regression analyses involve explanatory variables that are measured with error, and failing to account for this error is well known to lead to biased point and interval estimates of the regression coefficients. We present here a new general method for adjusting for covariate error. Our method consists of an approximate version of the Stefanski-Nakamura corrected score approach, using the m...
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Corrected score (Nakamura, 1990; Stefanski, 1989) is an important consistent functional modeling method for covariate measurement error in nonlinear regression. Although its pathological behaviors are known to exacerbate with increasing error contamination, neither their nature nor severity is well understood. In this article, we conduct a detailed investigation with the log-linear model for co...
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ژورنال
عنوان ژورنال: Biometrics
سال: 2013
ISSN: 0006-341X
DOI: 10.1111/j.1541-0420.2012.01833.x