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@cimentadaj
Last active March 1, 2017 15:43
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# (b) Use the same model fit to generate simulations of CD4 percentages at
# each of the time periods for a new child who was 4 years old at baseline.
# For that we have to first create the dataset with the hypothetical child:
# I'll assume 7 hypothetical dates
hyp_child <- data.frame(newpid = 120,
VDATE = sample(cd4$VDATE[!is.na(cd4$VDATE)], 7),
baseage = 4,
treatmnt = 1)
# The exercise doesn't say anything about the treatment variable but I have
# to assign a value to it because it's present in the previous model. I'll assume
# this new child was in the treatment.
year_pred <- predict(mod2, newdata = hyp_child)
# That's it! Now we have the predicted CD4 percentage for different time points
# for a hypothetical child.
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