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A weighted combination of pseudo-likelihood estimators for longitudinal binary data subject to nonignorable non-monotone missingness

For longitudinal binary data with non-monotone non-ignorably missing outcomes over time, a full likelihood approach is complicated algebraically, and with many follow-up times, maximum likelihood estimation can be computationally prohibitive. As alternatives, two pseudo-likelihood approaches have be...

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מידע ביבליוגרפי
Main Authors: Troxel, Andrea B., Lipsitz, Stuart R., Fitzmaurice, Garrett M., Ibrahim, Joseph G., Sinha, Debajyoti, Molenberghs, Geert
פורמט: Artigo
שפה:Inglês
יצא לאור: 2010
נושאים:
גישה מקוונת:https://ncbi.nlm.nih.gov/pmc/articles/PMC2996053/
https://ncbi.nlm.nih.gov/pubmed/20205269
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.3867
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