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Time-varying copula models for longitudinal data
We propose a copula-based joint modeling framework for mixed longitudinal responses. Our approach permits all model parameters to vary with time, and thus will enable researchers to reveal dynamic response–predictor relationships and response–response associations. We call the new class of models TI...
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| Publicado en: | Stat Interface |
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| Autores principales: | , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5909848/ https://ncbi.nlm.nih.gov/pubmed/29686744 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4310/SII.2018.v11.n2.a1 |
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