Table 2 Multivariate logistic regression for generated data: parameter estimates (standard errors) for large (N = 5000) and small (N = 100) samples
| Â | YBIN outcome | MBIN outcome | ||
|---|---|---|---|---|
| Â | 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) | - | - |