The DOI matches its Crossref record.
Logistic Regression: A Self-Learning Text.
Abstract
to Logistic Regression.- Important Special Cases of the Logistic Model.- Computing the Odds Ratio in Logistic Regression.- Maximum Likelihood Techniques: An Overview.- Statistical Inferences Using Maximum Likelihood Techniques.- Modeling Strategy Guidelines.- Modeling Strategy for Assessing Interaction and Confounding.- Additional Modeling Strategy Issues.- Assessing Goodness of Fit for Logistic Regression.- Assessing Discriminatory Performance of a Binary Logistic Model: ROC Curves.- Analysis of Matched Data Using Logistic Regression.- Polytomous Logistic Regression.- Ordinal Logistic Regression.- Logistic Regression for Correlated Data: GEE.- GEE Examples.- Other Approaches for Analysis of Correlated Data.
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Citations
Cited by
Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data
Quan, H., Sundararajan, V., Halfon, P., Fong, A., Burnand, B., Luthi, J.-C., Saunders, L. D., Beck, C. A., Feasby, T. E., & Ghali, W. A. (2005) · Medical Care · doi:10.1097/01.mlr.0000182534.19832.83 · Cited by 10,669
A Dynamic Model of Etiology in Sport Injury: The Recursive Nature of Risk and Causation
Meeuwisse, W. H., Tyreman, H., Hagel, B., & Emery, C. (2007) · Clinical Journal of Sport Medicine · doi:10.1097/jsm.0b013e3180592a48 · Cited by 667
Logistic regression in the medical literature:
Bagley, S. C., White, H., & Golomb, B. A. (2001) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(01)00372-9 · Cited by 616
Examples of mixed-effects modeling with crossed random effects and with binomial data
Quené, H., & van den Bergh, H. (2008) · Journal of Memory and Language · doi:10.1016/j.jml.2008.02.002 · Cited by 534
The White standard: racial bias in leader categorization
Rosette, A. S., Leonardelli, G. J., & Phillips, K. W. (2008) · Journal of Applied Psychology · doi:10.1037/0021-9010.93.4.758 · Cited by 494
Metadata
- Authors
- Selvin, S., & Kleinbaum, D. G.
- Venue
- Journal of the American Statistical Association
- Publisher
- JSTOR
- Published
- 1996-03
- Volume
- 91
- Issue
- 433
- Pages
- 433
- ISSN
- 0162-1459 (ISSN-L)
- OpenAlex
- W2800963611
- Cited by
- 1,619
- References
- 0
- FWCI
- 30.48
- Type
- journal article
- Language
- en
- Open access
- closed
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- Selvin, S., & Kleinbaum, D. G. (1996). Logistic Regression: A Self-Learning Text. Journal of the American Statistical Association. https://doi.org/10.2307/2291427
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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.
