Performance of logistic regression modeling: beyond the number of events per variable, the role of data structure
Top Cited Papers
- 17 March 2011
- journal article
- research article
- Published by Elsevier in Journal of Clinical Epidemiology
- Vol. 64 (9), 993-1000
- https://doi.org/10.1016/j.jclinepi.2010.11.012
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- Prognosis and prognostic research: what, why, and how?BMJ, 2009
- Relaxing the Rule of Ten Events per Variable in Logistic and Cox RegressionAmerican Journal of Epidemiology, 2006
- A review of two journals found that articles using multivariable logistic regression frequently did not report commonly recommended assumptionsJournal of Clinical Epidemiology, 2004
- Comparison of Logistic Regression versus Propensity Score When the Number of Events Is Low and There Are Multiple ConfoundersAmerican Journal of Epidemiology, 2003
- Internal and external validation of predictive models: A simulation study of bias and precision in small samplesJournal of Clinical Epidemiology, 2003
- What do we mean by validating a prognostic model?Statistics in Medicine, 2000
- A simple method of sample size calculation for linear and logistic regressionStatistics in Medicine, 1998
- A simulation study of the number of events per variable in logistic regression analysisJournal of Clinical Epidemiology, 1996
- MULTIVARIABLE PROGNOSTIC MODELS: ISSUES IN DEVELOPING MODELS, EVALUATING ASSUMPTIONS AND ADEQUACY, AND MEASURING AND REDUCING ERRORSStatistics in Medicine, 1996
- Interpreting Model Coefficients When the True Model Form Is UnknownEpidemiology, 1993