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Partially Linear Models with Missing Response Variables and Error-prone Covariates

We consider partially linear models of the form Y = X(T)β + ν(Z) + ε when the response variable Y is sometimes missing with missingness probability π depending on (X, Z), and the covariate X is measured with error, where ν(z) is an unspecified smooth function. The missingness structure is therefore...

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Detalhes bibliográficos
Main Authors: Liang, Hua, Wang, Suojin, Carroll, Raymond J.
Formato: Artigo
Idioma:Inglês
Publicado em: 2007
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2832298/
https://ncbi.nlm.nih.gov/pubmed/20209027
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biomet/asm010
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