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GMM in linear regression for longitudinal data with multiple covariates measured with error

✍ Scribed by Xiao, Zhiguo; Shao, Jun; Palta, Mari


Book ID
127040486
Publisher
Taylor and Francis Group
Year
2010
Tongue
English
Weight
130 KB
Volume
37
Category
Article
ISSN
0266-4763

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Estimation methods are considered for regression models which have both misclassified discrete covariates and continuous covariates measured with error. Adjusted parameter estimates are obtained using the method of data augmentation, where the true values of the covariates measured with error are re