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A joint model of longitudinal and competing risks survival data with heterogeneous random effects and outlying longitudinal measurements
This article proposes a joint model for longitudinal measurements and competing risks survival data. The model consists of a linear mixed effects sub-model with t-distributed measurement errors for the longitudinal outcome, a proportional cause-specific hazards frailty sub-model for the survival out...
Sparad:
| Huvudupphovsmän: | , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2010
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3166346/ https://ncbi.nlm.nih.gov/pubmed/21892381 |
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