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Table 1 Design factorial simulation studies Ia to Id

From: No rationale for 1 variable per 10 events criterion for binary logistic regression analysis

  Study
Factors Ia Ib Ic Id
Sample size     
EPV (with steps of) 15 to 150 (5) 15 to 150 (5) 6 to 30 (2) 6 to 30 (2)
Outcome prevalence 1/2 1/2 1/2,1/3,1/4,1/5,1/10 1/4
Range sample size 30 to 300 60 to 1200 24 to 600 60 to 300
Effect size     
Value of \(e^{\beta _{1}}\phantom {\dot {i}\!}\) 1/4, 1/2, 1, 2, 4 2, 4 2 2
Value of \(e^{\beta _{j}}, j > 1\phantom {\dot {i}\!}\) Not applicable β1=…=β P 2 2
Covariates     
Number (P) 1 2, 3, 4 2 2
Distribution (Multivariate) standard normal
Correlation Not applicable 0 0 .1,.15,.2,.25