Semiparametric Regression Methods with Covariate Measurement Error

Semiparametric Regression Methods with Covariate Measurement Error

In public health, biomedical, epidemiological, and other applications, data collected are often measured with error. When mismeasured data is used in a regression analysis, not accounting for the measurement error can lead to incorrect inference about the relationships between the covariates and the...

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Bibliographic Details
Main Author: Johnson, Nels Gordon
Other Authors: Statistics
Format: Others
Published: Virginia Tech 2014
Subjects:
Bayesian methods
error-in-covariates
generalized linear models
matched case-control studies
mixed models
semiparametric reg
Online Access:http://hdl.handle.net/10919/49551

Internet

http://hdl.handle.net/10919/49551

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