Created
November 6, 2016 00:19
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# (b) Extend the model in (a) to include child-level predictors | |
# (that is, group-level predictors) for treatment and age at baseline. | |
# Fit using lmer() and interpret the coefficients on time, treatment, | |
# and age at baseline. | |
mod2 <- lmer(CD4PCT ~ VDATE + treatmnt + baseage + (1 | newpid), data = cd4) | |
display(mod2) | |
# coef.est coef.se | |
# (Intercept) 67.28 9.82 | |
# VDATE -0.01 0.00 | |
# treatmnt 1.26 1.54 | |
# baseage -1.00 0.34 | |
# | |
# Error terms: | |
# Groups Name Std.Dev. | |
# newpid (Intercept) 11.45 | |
# Residual 7.32 | |
# --- | |
# number of obs: 1072, groups: newpid, 250 | |
# AIC = 7906.3, DIC = 7878.8 | |
# deviance = 7886.5 |
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