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The versatility of multi-state models for the analysis of longitudinal data with unobservable features
Multi-state models provide a convenient statistical framework for a wide variety of medical applications characterized by multiple events and longitudinal data. We illustrate this through four examples. The potential value of the incorporation of unobserved or partially observed states is highlighte...
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| Main Authors: | , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
Springer US
2012
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3884139/ https://ncbi.nlm.nih.gov/pubmed/23225140 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10985-012-9236-2 |
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