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Predicting clinical events using Bayesian multivariate linear mixed models with application to scleroderma
BACKGROUND: Scleroderma is a serious chronic autoimmune disease in which a patient’s disease state manifests in several irregularly spaced longitudinal measures of lung, heart, skin, and other organ systems. Threshold crossings of pulmonary and cardiac measures indicate potentially life-threatening...
Autores principales: | Kim, Ji Soo, Shah, Ami A., Hummers, Laura K., Zeger, Scott L. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590788/ https://www.ncbi.nlm.nih.gov/pubmed/34773969 http://dx.doi.org/10.1186/s12874-021-01439-y |
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