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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 c...

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Detalhes bibliográficos
Main Authors: Zucker, David M., Gorfine, Malka, Li, Yi, Tadesse, Mahlet, Spiegelman, Donna
Formato: Artigo
Idioma:Inglês
Publicado em: 2013
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3622191/
https://ncbi.nlm.nih.gov/pubmed/23379851
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2012.01833.x
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