Table 3.
Hierarchical multiple regression analysis to predict the contribution of the treatment protocol towards the VAS pain scores after 24 h of treatment (n = 84).
Model* | Predictors | Unstand Co | Stand Co | t | Sig | 95% CI for B | ||
---|---|---|---|---|---|---|---|---|
B | SE | Beta | Lower bound | Upper bound | ||||
Model 1 R2 = .008 |
(Constant) | 4.753 | 3.930 | – | 1.209 | .230 | − 3.068 | 12.574 |
Gender | .087 | .624 | .016 | .140 | .889 | − 1.155 | 1.329 | |
Age | − .094 | .157 | − .067 | − .597 | .552 | − .405 | .218 | |
Affected tooth | .133 | .284 | .053 | .471 | .639 | − .431 | .698 | |
Model 2 R2 = .771 |
(Constant) | − 4.475 | 1.981 | – | − 2.258 | .027 | − 8.418 | − .531 |
Gender | .035 | .301 | .006 | .116 | .908 | − .565 | .635 | |
Age | − .002 | .076 | − .002 | − .030 | .976 | − .153 | .149 | |
Affected tooth | .054 | .137 | .021 | .393 | .695 | − .219 | .327 | |
Treatment protocol | 4.875 | .300 | .877 | 16.246 | < .0001 | 4.278 | 5.472 |
R2 = Coefficient of determination, Unstand Co = Unstandardized coefficient, Stand Co = Standardized coefficient, B = Beta statistics, SE = Standard Error, t = t statistics, Sig = Significance of probability (P value), CI = Confidence intervals.
*Significance of F statistic change was P = .886 and P < .0001 for Model 1 and Model 2 respectively.