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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