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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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| Hlavní autoři: | , , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2010
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| Témata: | |
| On-line přístup: | 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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