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Generalized Linear Mixed Measurement Error Models

  • Carroll R
  • Lin X
  • Wang N
DOI: 10.1007/978-1-4612-0699-6_28
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Abstract

We consider generalized linear mixed models (GLMM) in a sampling design consisting of clusters and then units within clusters, when one of the predictors is measured with additive, normal error. We first review some basic ideas and recent results on the structure of...

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Carroll, R. J., Lin, X., & Wang, N. (1997). Generalized Linear Mixed Measurement Error Models (pp. 321–330). https://doi.org/10.1007/978-1-4612-0699-6_28

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