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A graphical approach to assess the goodness-of-fit of random-effects linear models when the goal is to measure individual benefits of medical treatments in severely ill patients
BACKGROUND: Two-dimensional personalized medicine (2-PM) models are tools for measuring individual benefits of medical treatments for chronic diseases which have potential applications in personalized medicine. These models assume normality for the distribution of random effects. It is necessary to...
Autores principales: | Wang, Zhiwen, Diaz, Francisco J. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7370523/ https://www.ncbi.nlm.nih.gov/pubmed/32689939 http://dx.doi.org/10.1186/s12874-020-01054-3 |
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