Table 4 Multivariable nested logistic regression models of higher imagequality
Model 1 | Model 2 | Model 3 | Model 4 | |
|---|---|---|---|---|
Predictor | OR | OR | OR | OR |
Age (years) | 1.01 | 1.01 | 1.01 | 1.01 |
Age*Age | 1.00* | 1.00* | 1.00* | 1.00* |
Race/Ethnicity | ||||
nH White | ||||
nH Black | 0.84 | |||
Hispanic | 1.13 | |||
No private insurance | 1.28 | 1.28 | ||
Education (years) | 1.07 | 1.07 | 1.05 | |
Income ($10,000 increments) | 1.05* | 1.06* | 1.06* | 1.07** |
N | 472 | 472 | 472 | 472 |
Log-Likelihood | −314.94 | −315.48 | −315.93 | −317.03 |
LR Test (p-value) | --- | 0.58 | 0.34 | 0.14 |
AIC | 645.88 | 642.95 | 641.87 | 642.05 |
BIC | 679.14 | 667.9 | 662.65 | 658.68 |
Pseudo-R2 | 0.04 | 0.04 | 0.03 | 0.03 |