Table 2.

Multivariate logistic regression for generated data: parameter estimates (standard errors) for large (N = 5000) and small (N = 100) samples

	YBIN outcome		MBIN outcome
	N = 5000	N = 100	N = 5000	N = 100
Intercept	-0.5735 (0.0787)	-0.3470 (0.6320)	-0.0835 (0.0627)	0.9316 (0.4745)
BIN1	0.5602 (0.0781)	0.3234 (0.5362)	1.0596 (0.0713)	0.9921 (0.9921)
BIN2	0.9941 (0.0791)	1.3645 (0.5409)	1.4787 (0.0734)	1.4472 (0.5842)
BIN3	-1.5431 (0.0844)	-1.6759 (0.5551)	0.0708 (0.0691)	-0.8168 (0.5530)
MBIN	2.3781 (0.0873)	1.7528 (0.6260)	-	-