Table 4.
Logistic regression predicting insight in patients with OCD
| Variables | B* | SE† | Wald‡ | df | p§ | Exp (B)ǁ |
|---|---|---|---|---|---|---|
| Group (resistant/responder) | 1.735 | 2.900 | 0.358 | 1 | 0.550 | 5.666 |
| Duration of illness (years) | 0.140 | 0.101 | 1.933 | 1 | 0.164 | 1.150 |
| Y-BOCS obsessions | 0.550 | 0.463 | 1.412 | 1 | 0.235 | 1.733 |
| Y-BOCS compulsions | 0.413 | 0.336 | 1.511 | 1 | 0.219 | 1.511 |
| Beck anxiety inventory | -0.008 | 0.067 | 0.015 | 1 | 0.901 | 0.992 |
| Beck fepression inventory | 0.019 | 0.066 | 0.085 | 1 | 0.771 | 1.019 |
| RMET | -0.487 | 0.193 | 6.380 | 1 | 0.012¶ | 0.615 |
*
these are the values for the logistic regression equation for predicting the dependent variable from the independent variable,
†
these are the standard errors associated with the coefficients,
‡
wald test is used in testing the null hypothesis that the coefficient is zero,
§
this is the 2-tailed p-value associated with the Wald test. It is used as a measure of statistical significance of the coefficient,
ǁ
these are the odds ratios for the predictors,
¶
values are significant.
Y-BOCS: Yale-Brown Obsessive-Compulsive Symptoms Scale, RMET: Reading the Mind in the Eyes Test