(1) translate SAS to Stata, but are not fluent in both.
(2) use Stata 8 in an area where Stata 9 is much,
much more powerful.
I do not agree or disagree with this. It is possible to
translate programs from languages you have never even
used into Stata, but even in that case it hinges on
how far the code in the other language is transparent
and on how fluent you are in Stata. The transparency
seems to be lacking here.
Short of upgrading to Stata 9, finding out the
statistics of what you want to emulate and trying
to do it in -gllamm- might be your best bet.
thank you nick (cox) for your response. it is much appreciated. perhaps it
would have helped if i have instead mentioned what i wished to do in its
entirety. however part of my liking for stata/statistics is to learn on the
job kind of thing and to seek help when things could not move further
forward no more in my view (obviously others may disagree with this course
of action or the timing of when to seek advice/help).
i am trying to translate SAS procedure to stata but am currently stuck at a
juncture prior to the PROC Mixed. the SAS codes can be found on Reitsma JB
et. al. Bivariate analysis of sensitivity and specificity produces
informative summary measures in diagnostic reviews. J Clin Epidemiol
2005;58:982-990.
the bits i am stuck at (at the moment in any case):
====================================
/*
In the next step we create a special dataset that contains the 44
calculated
variances of logit sensitivity and the 44 variances of specificity in each
study. Three additional records are created which contain the starting
values for the 3 additional variance parameters of the bivariate model:
record 1 holds the starting value for the between-study variance in logit
sensitivity, record 2 the covariance between logit sensitivity and
specificity, and record 3 the between-study variance in logit specificity
*/
data cov;
/* start the file with three starting values for (co)variance parameters of
the random effects (zero works well) SAS expects the name est for this
variable */
if _n_ eq 1 then do;
est = 0; output; est = 0; output; est = 0; output;
end;
/* followed by the 88 calculated variances of sensitivity and
specificity of
each study */
set bi_meta;
est = var_logit; output;
keep est;
run;
====================================
if someone would be able to tell me what these SAS codes trying to
achieve i
might be able to do something with stata 8.2 (os wxp pro sp2). i was hoping
that by knowing the equivalence of stata PROC Mixed, the data set-up and
output, working backward, i might be able to slowly pieced it in stata.
searching stata FAQ's and UCLA fantastic stata repository did not
unfortunately help with this particular problem. however, googling did
point
to previous postings in 2002/2004 by (among others - apologies in case i
missed some postings) Joseph Coveney, Ben Dwamena and, Gerben ter Riet
concerning bivariate approach. however it bears no resemblance to the SAS
codes in the published article nor (to me) can be adopted/adapted to the
problem at hand. a look at stata cross-sectional time-series reference
manual [XT] for stata 8 did not show an entry on xtmixed but fortunately it
is available on-line on stata help page. i could not see though how this
can
be adapted to PROC Mixed as used in the article but this could well reflect
my lack of statistical knowledge and understanding in this area. i am also
handicapped by not having previous SAS exposure at all. in light of ATS
UCLA
Mitchell's document where he suggested the complementary nature of
SAS/Stata, learning SAS as another tool for my statistical carpentry could
well creep into my new year resolution. for now, i am hoping that on this
occasion there will at least be someone in the stata lists who is familiar
with SAS/Stata and able to advice/help me.
on that note, thank you again for any forthcoming advice/help. please
accept
my apology for the somewhat verbose extent of this posting.
