title: Relaxing the rule of ten events per variable in logistic and Cox regression.
abstract: The rule of thumb that logistic and Cox models should be used with a minimum of 10 outcome events per predictor variable (EPV), based on two simulation studies, may be too conservative. The authors conducted a large simulation study of other influences on confidence interval coverage, type I error, relative bias, and other model performance measures. They found a range of circumstances in which coverage and bias were within acceptable levels despite less than 10 EPV, as well as other factors that were as influential as or more influential than EPV. They conclude that this rule can be relaxed, in particular for sensitivity analyses undertaken to demonstrate adequate control of confounding.
authors.affiliation: Department of Epidemiology and Biostatistics, University of California-San Francisco, 185 Berry Street, San Francisco, CA 94107, USA. eric@biostat.ucsf.edu
authors.forename: Eric
authors.initials: E
authors.lastname: Vittinghoff
authors.forename: Charles E
authors.initials: CE
authors.lastname: McCulloch
mesh_terms: D015982:Bias; D016022:Case-Control Studies; D016001:Confidence Intervals; D015986:Confounding Factors, Epidemiologic; D003627:Data Interpretation, Statistical; D005163:Factor Analysis, Statistical; D006801:Humans; D016015:Logistic Models; D015999:Multivariate Analysis; D011237:Predictive Value of Tests; D015995:Prevalence; D016016:Proportional Hazards Models; D018401:Sample Size; D012680:Sensitivity and Specificity