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GMM nonparametric correction methods for logistic regression with error contaminated covariates and partially observed instrumental variables
We consider logistic regression with covariate measurement error. Most existing approaches require certain replicates of the error-contaminated covariates, which may not be available in the data. We propose generalized methods of moments (GMM) non-parametric correction approaches that use instrument...
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| Gepubliceerd in: | Scand Stat Theory Appl |
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| Hoofdauteurs: | , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2018
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7517614/ https://ncbi.nlm.nih.gov/pubmed/32982012 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/sjos.12364 |
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