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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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Detalles Bibliográficos
Publicado en:Stat Interface
Main Authors: Kürüm, Esra, Hughes, John, Li, Runze, Shiffman, Saul
Formato: Artigo
Idioma:Inglês
Publicado: 2018
Assuntos:
Acceso en liña: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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