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A comparison of model choice strategies for logistic regression Cover

A comparison of model choice strategies for logistic regression

Journal of Data and Information Science
Volume 9 (2024): Issue 1 (February 2024)
By: Markku Karhunen  
Open Access
|Feb 2024

Authors

Markku Karhunen

markku.karhunen@syke.fi

Built Environment Solutions unit, Finnish Environment Institute (Syke), Helsinki, Finland
DOI: https://doi.org/10.2478/jdis-2024-0001 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
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Language: English
Page range: 37 - 52
Submitted on: Oct 11, 2023
Accepted on: Dec 22, 2023
Published on: Feb 6, 2024
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Model choice,
Logistic regression,
Logit regression,
Monte Carlo simulations,
Sensitivity,
Specificity
Related subjects:
Computer sciences,
Information technology,
Project management,
Databases and data mining

© 2024 Markku Karhunen, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution 4.0 License.

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