Thank you, -suest- worked perfectly. I was wondering though, would it would
be appropriate in a situation where I have done two -nptrend-s to test if
the two coefficients vary between groups?
The variables are race (1=Caucasian American or CA, 2=African American or
AA), vload (viral load, continuous), and altcat (categorical levels (3) of
ALT)
In my case, viral load is not normal and no transformation even approaches
normal.
Would the following be appropriate:
nptrend vload if race==1, by(altcat)
nptrend vload if race==2, by(altcat)
egen raltca = rank(age) if race==1
egen rvica = rank(vload) if race==1
egen raltaa = rank(age) if race==2
egen rviaa = rank(vload) if race==2
regress rvica raltca, score(scoca)
estimates store ca
regress rviaa raltaa, score(scoaa)
estimates store aa
suest aa ca
test [ca_mean]raltca = [aa_mean]raltaa
>You might be able to use -bootstrap- (or -jknife-) to obtain confidence
>intervals of the correlation coefficients (or of their difference), and
there
>are probably other more direct methods, too, but would something like the
>following be worth considering?
>
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