Mutual information: Measuring nonlinear dependence in longitudinal epidemiological data

Given a large clinical database of longitudinal patient information including many covariates, it is computationally prohibitive to consider all types of interdependence between patient variables of interest. This challenge motivates the use of mutual information (MI), a statistical summary of data...

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Detalles Bibliográficos
Autores principales: Young, Alexander L., van den Boom, Willem, Schroeder, Rebecca A., Krishnamoorthy, Vijay, Raghunathan, Karthik, Wu, Hau-Tieng, Dunson, David B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10132663/
https://www.ncbi.nlm.nih.gov/pubmed/37099536
http://dx.doi.org/10.1371/journal.pone.0284904

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10132663/
https://www.ncbi.nlm.nih.gov/pubmed/37099536
http://dx.doi.org/10.1371/journal.pone.0284904

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