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On latent-variable model misspecification in structural measurement error models for binary response

We consider structural measurement error models for a binary response. We show that likelihood-based estimators obtained from fitting structural measurement error models with pooled binary responses can be far more robust to covariate measurement error in the presence of latent-variable model misspe...

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Detalhes bibliográficos
Main Authors: Huang, Xianzheng, Tebbs, Joshua M.
Formato: Artigo
Idioma:Inglês
Publicado em: 2008
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3229040/
https://ncbi.nlm.nih.gov/pubmed/18945265
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2008.01128.x
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