A Bivariate Pseudo-Likelihood for Incomplete Longitudinal Binary Data with Nonignorable Non-monotone Missingness

For analyzing longitudinal binary data with nonignorable and non-monotone missing responses, a full likelihood method is complicated algebraically, and often requires intensive computation, especially when there are many follow-up times. As an alternative, a pseudo-likelihood approach has been propo...

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Autores principales: Sinha, Sanjoy K., Troxel, Andrea B., Lipsitz, Stuart R., Sinha, Debajyoti, Fitzmaurice, Garrett M., Molenberghs, Geert, Ibrahim, Joseph G.
Formato: Artigo
Lenguaje:Inglês
Publicado: 2010
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Article
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC3135715/
https://ncbi.nlm.nih.gov/pubmed/21155748
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2010.01525.x
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