The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Logistic Regression Analysis and Reporting: A Primer
Abstract
Logistic regression, being well suited for analyzing dichotomous outcomes, has been increasingly applied in social science research. That potential expanded usage demands that researchers, editors, and readers be coached in terms of what to expect in an article that used the logistic regression technique: What tables should be included? What assumptions tested? What figures or charts should be expected? In this article we seek to answer these questions with an illustration of logistic regression applied to a real world data set. Results were evaluated and diagnosed in terms of the overall test of the model, interpretability and statistical significance of each predictor, goodness-of-fit statistics, predictive power, accuracy of prediction, and identification of potential outliers. Guidelines are offered for modeling strategies and reporting standards in logistic regression. Furthermore, 6 statistical packages were employed to perform logistic regression. Their strengths and weaknesses were noted in terms of flexibility, accuracy, completeness, and usefulness.
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Cited by
Barredo Arrieta, A., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., Garcia, S., Gil-Lopez, S., Molina, D., Benjamins, R., et al. (2020) · Information Fusion · doi:10.1016/j.inffus.2019.12.012 · Cited by 10,423
An Introduction to Logistic Regression Analysis and Reporting
Peng, C.-Y. J., Lee, K. L., & Ingersoll, G. M. (2002) · The Journal of Educational Research · doi:10.1080/00220670209598786 · Cited by 2,671
Self-citationOptimalCutpoints: An R Package for Selecting Optimal Cutpoints in Diagnostic Tests
López-Ratón, M., Rodríguez-Álvarez, M. X., Suárez, C. C., & Sampedro, F. G. (2014) · Journal of Statistical Software · doi:10.18637/jss.v061.i08 · Cited by 548
Park, H.-A. (2013) · Journal of Korean Academy of Nursing · doi:10.4040/jkan.2013.43.2.154 · Cited by 408
Klales, A. R., Ousley, S. D., & Vollner, J. M. (2012) · American Journal of Physical Anthropology · doi:10.1002/ajpa.22102 · Cited by 277
Metadata
- Authors
- Peng, C.-Y. J., & So, T.-S. H.
- Venue
- Understanding Statistics
- Publisher
- Informa UK Limited
- Published
- 2002-02-02
- Volume
- 1
- Issue
- 1
- Pages
- 31-70
- ISSN
- 1532-8031 (ISSN-L)
- 1534-844X
- OpenAlex
- W2031540871
- Cited by
- 311
- References
- 33
- FWCI
- 2.16
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
