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 |