The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
The importance of assessing the fit of logistic regression models: a case study.
Open accessAbstract
BACKGROUND: The logistic regression model is being used with increasing frequency in all areas of public health research. In the calendar year 1989, over 30% of the articles published in the American Journal of Public Health employed some form of logistic regression modeling. In spite of this increase, there has been no commensurate increase in the use of commonly available methods for assessing model adequacy. METHODS: We review the current status of the use of logistic regression modeling in the American Journal of Public Health. We present a brief overview of currently available and easily used methods for assessing the adequacy of a fitted logistic regression model. RESULTS: An example is used to demonstrate the methods as well as a few of the adverse consequences of failing to assess the fit of the model. One important adverse consequence illustrated in the example is the inclusion of variables in the model as a result of the influence of one subject. CONCLUSIONS: Failure to address model adequacy may lead to misleading or incorrect inferences. Recommendations are made for the use of methods for assessing model adequacy and for future editorial policy in regard to the review of articles using logistic regression.
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“Widely used statistical models, including logistic [ 169 ] and proportional hazards (Cox) regression [ 170 ] are based on ratio measures.”
From Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration (2007) · cites this paper as [169]
Citations
Cites
Modeling and variable selection in epidemiologic analysis
Greenland, S. (1989) · American Journal of Public Health · doi:10.2105/ajph.79.3.340 · Cited by 2,208
A REVIEW OF GOODNESS OF FIT STATISTICS FOR USE IN THE DEVELOPMENT OF LOGISTIC REGRESSION MODELS1
LEMESHOW, S., & HOSMER, D. W. (1982) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a113284 · Cited by 1,947
Self-citationGoodness of fit tests for the multiple logistic regression model
Hosmer, D., & Lemesbow, S. (1980) · Communication in Statistics- Theory and Methods · doi:10.1080/03610928008827941 · Cited by 1,780
Self-citationLogistic Regression Diagnostics
Pregibon, D. (1981) · The Annals of Statistics · doi:10.1214/aos/1176345513 · Cited by 1,303
Best Subsets Logistic Regression
Hosmer, D. W., Jovanovic, B. D., & Lemeshow, S. A. (1989) · Biometrics · doi:10.2307/2531779 · Cited by 1,175
Self-citationDetection of Influential Observation in Linear Regression
Cook, R. D. (1977) · Technometrics · doi:10.2307/1268249 · Cited by 991
Applied regression analysis and other multivariable methods
Kleinbaum, D. G. 1. (1998) · Cited by 929
Research works printed but not linked: 1
- Hosmer DW, 1988, Biometrcal J., 30, 1
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Vandenbroucke, J. P., von Elm, E., Altman, D. G., Gøtzsche, P. C., Mulrow, C. D., Pocock, S. J., Poole, C., Schlesselman, J. J., Egger, M., & Initiative, F. T. S. (2007) · PLoS Medicine · doi:10.1371/journal.pmed.0040297 · Cited by 8,613
“Widely used statistical models, including logistic [169] and proportional hazards (Cox) regression [170] are based on ratio measures.”
Vandenbroucke, J. P., Elm, E. V., Altman, D. G., Gøtzsche, P. C., Mulrow, C. D., Pocock, S. J., Poole, C., Schlesselman, J. J., Egger, M., & initiative, F. T. S. (2007) · Annals of Internal Medicine · doi:10.7326/0003-4819-147-8-200710160-00010-w1 · Cited by 3,543
Vandenbroucke, J. P., von Elm, E., Altman, D. G., Gøtzsche, P. C., Mulrow, C. D., Pocock, S. J., Poole, C., Schlesselman, J. J., & Egger, M. (2014) · International Journal of Surgery · doi:10.1016/j.ijsu.2014.07.014 · Cited by 2,969
Vandenbroucke, J. P., von Elm, E., Altman, D. G., Gøtzsche, P. C., Mulrow, C. D., Pocock, S. J., Poole, C., Schlesselman, J. J., & Egger, M. (2007) · Epidemiology · doi:10.1097/ede.0b013e3181577511 · Cited by 2,779
The LANSS Pain Scale: the Leeds assessment of neuropathic symptoms and signs
Bennett, M. (2001) · Pain · doi:10.1016/s0304-3959(00)00482-6 · Cited by 1,165
Metadata
- Authors
- Hosmer, D. W., Taber, S., & Lemeshow, S.
- Affiliations
- University of Massachusetts Amherst (US)
- Venue
- American Journal of Public Health
- Publisher
- American Public Health Association
- Published
- 1991-12
- Volume
- 81
- Issue
- 12
- Pages
- 1630-1635
- ISSN
- 0090-0036 (ISSN-L)
- 1541-0048
- PMC
- PMC1405276
- OpenAlex
- W1984363050
- Cited by
- 496
- References
- 7
- Citations by year
- 2026: 11 · 2025: 7 · 2024: 18 · 2023: 9 · 2022: 16 · 2021: 19 · 2020: 15 · 2019: 17 · 2018: 8 · 2017: 14 · 2016: 13 · 2015: 21 · 2014: 14 · 2013: 28 · 2012: 27
- FWCI
- 6.55
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- American Journal of Public Health (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Keywords
- logistic regression, model fit assessment, model adequacy, influential observations, editorial policy, statistical reporting quality, public health research
- MeSH terms
- Data Interpretation, Statistical, Evaluation Studies as Topic, Humans, Periodicals as Topic, Public Health, Publishing, Reproducibility of Results, Bias, Logistic Models
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