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A general joint model for longitudinal measurements and competing risks survival data with heterogeneous random effects
This article studies a general joint model for longitudinal measurements and competing risks survival data. The model consists of a linear mixed effects sub-model for the longitudinal outcome, a proportional cause-specific hazards frailty sub-model for the competing risks survival data, and a regres...
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| Main Authors: | , , , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
2010
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3162577/ https://ncbi.nlm.nih.gov/pubmed/20549344 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10985-010-9169-6 |
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