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Gaussian variational approximate inference for joint models of longitudinal biomarkers and a survival outcome
The shared random effects joint model is one of the most widely used approaches to study the associations between longitudinal biomarkers and a survival outcome and make dynamic risk predictions using the longitudinally measured biomarkers. Various types of joint models have been developed under dif...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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John Wiley & Sons, Inc.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099947/ https://www.ncbi.nlm.nih.gov/pubmed/36443903 http://dx.doi.org/10.1002/sim.9619 |