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. 2022 Feb 3;269(7):3706–3712. doi: 10.1007/s00415-022-10995-2

Table 2.

Multiple regression analysis of time to onset of BoNT effect

Model summary R R2 Adjusted R2 Standard error Durbin–Watson
0.348 0.121 0.065 4,88,630 2037
ANOVA Sum of squares Degrees of freedom Mean squares F p value
Regression 563,539 11 51,231 2146 0.020*
Residual 4082,789 171 23,876
Total 4646,328 182
Covariance analysis B Standard error Beta t p value
Doses 0.018 0.011 0.163 1.670 0.097
Years of treatment − 0.063 0.058 − 0.090 − 1.085 0.279
Age − 0.084 0.029 − 0.249 − 2.879 0.004*
Sex 0.401 0.796 0.039 0.504 0.615
IncobotulinumtoxinA − 0.224 1.117 − 0.017 − 0.200 0.842
AbobotulinumtoxinA − 2.225 1.866 − 0.204 − 1.192 0.235
Cervical dystonia 1.389 1.919 0.120 0.723 0.470
Hemifacial spasm 1.401 1.025 0.113 1.367 0.173
Oromandibular dystonia 3.699 2.483 0.120 1.490 0.138
Focal dystonia 1.721 2.265 0.096 0.760 0.448
Sialorrhea 0.273 1.590 0.014 0.172 0.864

As a categorical, non-dichotomous variable, type of toxin was inserted in the statistical model as a dummy variable with onabotulinumtoxin-A as the reference level (thus not present in the table)

Likely, type of disease was inserted as a dummy variable with blepharospasm as the reference level (thus not present in the table)

BoNT botulinum toxin