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Double robust and efficient estimation of a prognostic model for events in the presence of dependent censoring
In longitudinal data arising from observational or experimental studies, dependent subject drop-out is a common occurrence. If the goal is estimation of the parameters of a marginal complete-data model for the outcome, biased inference will result from fitting the model of interest with only uncenso...
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| Publicado no: | Biostatistics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4679073/ https://ncbi.nlm.nih.gov/pubmed/26224070 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxv028 |
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