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A varying-coefficient method for analyzing longitudinal clinical trials data with nonignorable dropout
Dropout is common in longitudinal clinical trials and when the probability of dropout depends on unobserved outcomes even after conditioning on available data, it is considered missing not at random and therefore nonignorable. To address this problem, mixture models can be used to account for the re...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3414213/ https://ncbi.nlm.nih.gov/pubmed/22101223 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cct.2011.11.009 |
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