Table 3.
Results of regression models with post vaccination titer Tpost as the dependent variable in every case.^
| Variables | Estimates of regression model | Variables | Estimates of regression model | ||
|---|---|---|---|---|---|
| Nr vaccinations | A (y-intercept) | 3.738* | |||
| BNV | −0.369* | ||||
| R2 | 0.039 | ||||
| Pre-titre | A (y-intercept) | 2.433* | Pre-titre | A (y-intercept) | 2.777* |
| Bpre | 0.600* | Bpre | 0.642* | ||
| Nr vaccinations | BNV | −0.502* | |||
| R2 | 0.257 | R2 | 0.327 | ||
| Pre-titre Age group |
A (y-intercept) | 2.993 | Pre-titre Age group |
A (y-intercept) | 3.248* |
| Bpre | 0.592* | Bpre | 0.692* | ||
| Bagegroup | −1.006* | Bagegroup | −0.911* | ||
| Nr vaccinations | BNV | −0.448* | |||
| R2 | 0.335 | R2 | 0.390 | ||
The regression models on the right include number of previous vaccinations BNV. Notice that number of previous vaccinations has a statistically significant negative effect and contributes to the R2 in every case.
p<0.001