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A Joint Model for Longitudinal Measurements and Survival Data in the Presence of Multiple Failure Types
In this article we study a joint model for longitudinal measurements and competing risks survival data. Our joint model provides a flexible approach to handle possible nonignorable missing data in the longitudinal measurements due to dropout. It is also an extension of previous joint models with a s...
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| Main Authors: | , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
2007
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2751647/ https://ncbi.nlm.nih.gov/pubmed/18162112 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2007.00952.x |
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