Mutual information: Measuring nonlinear dependence in longitudinal epidemiological data

Mutual information: Measuring nonlinear dependence in longitudinal epidemiological data

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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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Bibliographic Details
Main Authors: Alexander L. Young, Willem van den Boom, Rebecca A. Schroeder, Vijay Krishnamoorthy, Karthik Raghunathan, Hau-Tieng Wu, David B. Dunson
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10132663/?tool=EBI

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https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10132663/?tool=EBI

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