Greetings,
I am modeling healthcare costs using a glm with gamma
distribution and the log link:
glm y x1 x2 x3, fam(gamma) link(log)
The coefficients are displayed in log terms. When I
predict the mean costs for the sample {mu as the
default; y_hat = g_inverse(xb)}, the means are
displayed in monetary terms as desired.
How can I obtain the 95% confidence intervals for the
predicted means? I've tried the command:
predict se_mean, stdp
but this does not give me the SE's around the
predicted means.
Thanks in advance for help.
Mike
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