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A NONPARAMETRIC MULTIPLE IMPUTATION APPROACH FOR DATA WITH MISSING COVARIATE VALUES WITH APPLICATION TO COLORECTAL ADENOMA DATA
A nearest neighbor-based multiple imputation approach is proposed to recover missing covariate information using the predictive covariates while estimating the association between the outcome and the covariates. To conduct the imputation, two working models are fitted to define an imputing set. This...
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| Izdano u: | J Biopharm Stat |
|---|---|
| Glavni autori: | , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
2014
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| Teme: | |
| Online pristup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4353564/ https://ncbi.nlm.nih.gov/pubmed/24697618 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10543406.2014.888444 |
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