Modeling and visualizing two-way contingency tables using compositional data analysis: a case-study on individual self-prediction of migraine days

DOI10.1002/sim.8769zbMATH Open1546.62774MaRDI QIDQ6627879

Amparo Casanova, Marina Vives-Mestres

Publication date: 29 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

contingency tablecompositional datalogratioself-predictionsingle-subject design

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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• Independence in Contingency Tables Using Simplicial Geometry
• Isometric logratio transformations for compositional data analysis
• Compositional data: the sample space and its structure
• Bayesian-multiplicative treatment of count zeros in compositional data sets
• THE COMPARISON OF PERCENTAGES IN MATCHED SAMPLES

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