Hi all, after fitting a model with lme, I run post-hoc tests with glht. The results are repored in the following:
lev.ph <- glht(lev.lm, linfct = ph_conditional);
summary(lev.ph, test=adjusted("bonferroni"))
Simultaneous Tests for General Linear Hypotheses
Fit: lme.formula(fixed = data ~ des_days, data = data_red_trf, random =
~des_days |
ratID, method = "ML", na.action = na.omit, control = lCtr)
Linear Hypotheses:
Estimate Std. Error z value
Pr(>|z|)
des_days1 == 0 3232.2 443.2 7.294 9.05e-13 ***
des_days14 == 0 3356.1 912.2 3.679 0.000702 ***
des_days48 == 0 2688.4 1078.5 2.493 0.038025 *
I am trying to understand the output values. How are the z-scores computed?
If the function uses standard errors, should these be t-statistics (and not
z-scores)?
Sorry for the perhaps trivial question.
Best