Drawing Guideline for JKMS Manuscripts (03): Plots for Categorical Data. [PDF]
J Korean Med Sci, 2021 Kim J, Lee JS, Kim S.
europepmc +1 more source
Rough set based information theoretic approach for clustering uncertain categorical data. [PDF]
PLoS One, 2022 Uddin J +5 more
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Generalized bi-additive modelling for categorical data [PDF]
Generalized linear modelling (GLM) is a versatile technique, which may be viewed as a generalization of well-known techniques such as least squares regression, analysis of variance, loglinear modelling, and logistic regression.
Groenen, P.J.F., Koning, A.J.
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A hybrid approach for the analysis of complex categorical data structures: assessment of latent distance learning perception in higher education. [PDF]
Comput Stat, 2022 Iannario M, D'Enza AI, Romano R.
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Speaking Stata: Graphing categorical and compositional data [PDF]
A variety of graphs have been devised for categorical and compositional data, ranging from widely familiar to more unusual displays. Both official Stata commands and user-written programs are available.
Nicholas J. Cox
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Scalable mixed model methods for set-based association studies on large-scale categorical data analysis and its application to exome-sequencing data in UK Biobank. [PDF]
Am J Hum Genet, 2023 Bi W +5 more
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Multiple Correspondence Analysis & the Multilogit Bilinear Model
, 2016 Multiple Correspondence Analysis (MCA) is a dimension reduction method which plays a large role in the analysis of tables with categorical nominal variables such as survey data.
Fithian, William, Josse, Julie
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Multi-Kernel Learning for Heterogeneous Data
IEEE AccessMulti-kernel learning is an excellent machine learning algorithm widely used in various learning tasks such as classification and regression. Traditional kernel methods mainly focus on numerical data and lack sufficient research on categorical and mixed ...
Chunlan Liao, Shili Peng
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A Framework for Efficient N-Way Interaction Testing in Case/Control Studies With Categorical Data. [PDF]
IEEE Open J Eng Med Biol, 2021 Aristodimou A +11 more
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Bayesian Nonparametric Dimensionality Reduction of Categorical Data for Predicting Severity of COVID-19 in Pregnant Women. [PDF]
Proc Eur Signal Process Conf EUSIPCO, 2021 Ajirak M +6 more
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