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Robust Joint Modeling of Longitudinal Measurements and Competing Risks Failure Time Data
Existing methods for joint modeling of longitudinal measurements and survival data can be highly influenced by outliers in the longitudinal outcome. We propose a joint model for analysis of longitudinal measurements and competing risks failure time data which is robust in the presence of outlying lo...
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| Huvudupphovsmän: | , , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2009
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2726782/ https://ncbi.nlm.nih.gov/pubmed/19197956 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/bimj.200810491 |
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