Table 3.
Multinomial logistic regression models of accuracy and bias of HIV testing perceptions for non-testers (n = 432) versus testers (n = 391)
| Effect | Contrasta | Unadjusted model |
Adjusted modelb |
||||
|---|---|---|---|---|---|---|---|
| Odds ratio | 95 % confidence limit | p value | Odds ratio | 95 % confidence limit | p value | ||
| HIV testing (no vs. yes) | a versus d | 4.50 | (2.48, 8.18) | <.001 | 4.28 | (2.34, 7.83) | <.001 |
| b versus d | 3.44 | (2.09, 5.66) | <.001 | 3.27 | (2.00, 5.33) | <.001 | |
| c versus d | 1.50 | (0.80, 2.79) | 0.21 | 1.39 | (0.75, 2.58) | 0.30 | |
a
Contrasts: a versus d = correct rejection versus correct identification; b versus d false rejection versus correct identification; c versus d = false identification versus correct identification
b
Adjusted models control for age, education, SES, marital history, and number of children