Table 3

GAM statistics and Wald χ2 test for the effects of the campaign on alcohol consumption per capita

GAM
EstimateSE95% CIPr(>|t|)
(Intercept)−0.8330.013(−0.858 to −0.808)<0.001
After campaign−0.0730.049(−0.169 to 0.023)0.135
Before campaign0.0290.052(−0.073 to 0.131)0.577
Smooth termsEffective dfF statisticP value
s(month over a year)7.73720.6640
s(time)8.754127.9080
Wald χ2 test for the difference of coefficients
EstimateSE95% CIPr(>χ2)
After campaign vs before campaign−0.1020.031(−0.163 to −0.042)<0.001
χ210.98
df1
  • GAM, generalised additive model.