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Estimators based on Unconventional Likelihoods with Nonignorable Missing Data and its Application to a Children’s Mental Health Study
Nonignorable missing-data is common in studies where the outcome is relevant to the subject’s behavior. Ibrahim et al. (2001) fitted a logistic regression for a binary outcome subject to nonignorable missing data, and they proposed to replace the outcome in the mechanism model with an auxiliary vari...
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| Publicado no: | J Nonparametr Stat |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7531040/ https://ncbi.nlm.nih.gov/pubmed/33013146 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10485252.2019.1664739 |
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