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PREDICTING LONGITUDINAL TRAJECTORIES OF HEALTH PROBABILITIES WITH RANDOM-EFFECTS MULTINOMIAL LOGIT REGRESSION
Researchers often encounter longitudinal health data characterized with three or more ordinal or nominal categories. Random-effects multinomial logit models are generally applied to account for potential lack of independence inherent in such clustered data. When parameter estimates are used to descr...
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| Hauptverfasser: | , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2012
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3883111/ https://ncbi.nlm.nih.gov/pubmed/22825754 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.5514 |
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