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Analysis of Incomplete Longitudinal Binary Data-A Combined Markov’s Transition and Logistic Model for Non-ignorable Missingness
The problem of incomplete data is a common phenomenon in research that involves the longitudinal design approach. We investigate and develop a likelihood-based approach for incomplete longitudinal binary data using the disposition model when the missing value mechanism is non-ignorable. We combined...
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| Veröffentlicht in: | Appl Appl Math |
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| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2016
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5515546/ https://ncbi.nlm.nih.gov/pubmed/28729894 |
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