Table 1 Generalized linear model results of the association of vertical transmission with regard to age

FORMULA > model <—glmer(VT ~ AGE + (1 | FARM), data = data, family = binomial, control = glmerControl(optimizer = "bobyqa"))

AIC

BIC

logLik

Deviance

df.resid

271.8

285.9

-131.9

263.8

245

Scaled residuals

Min

1Q

Median

3Q

Max

-0.7190

-0.6454

-0.4666

-0.4188

2.3876

Random effects

Groups

Name

Variance

Standard deviation

Farm

(intercept)

0.02988

0.1728

Estimate

Standard Error

z value

Pr( >|z|)

Interpretation

Fixed effects

Intercept

-1.6344

0.2847

-5.741

9.44e-09

p < 0.001

AgeYoung

0.8648

0.3432

2.520 0.855

0.0117

p < 0.05

AgeOld

0.3806

0.4453

0.3927

non-significant

Correlation of Fixed Effects

(Intr)

AgeYoung

AgeYoung^a

-0.681

AgeOld^b

-0.473

0.388