st: xtmelogit variance estimates, conversion to MOR, inserting MORs into xtmelogit estimates, and then replacing them: a tale of two questions

[Jamie Fagg <j.fagg@qmul.ac.uk>]

Dear all,

I've just been experimenting with esttab and the associated commands
(estadd, estpost etc) and using to tabulate some xtmelogit models that
I've fitted in Stata 10. I've got a number of queries.

First, considering the variance estimates from the following three
level logistic variance components model :

  Random-effects Parameters  |   Estimate   Std. Err.     [95% Conf. Interval]
-----------------------------+------------------------------------------------
neigh: Identity       |
                  var(_cons) |    .579824   .1686844      .3278398    1.025488
-----------------------------+------------------------------------------------
pid: Identity                |
                  var(_cons) |    2.55512   .3073848      2.018415    3.234537

I'd like to use the estimates to make a table which includes the
median odds ratio (MOR). Drawing on Sophia Rabe Hesketh and Anders
Skrondals (2008) and Ben Jann's helpful examples, I've added the
between-individual (pid) MOR and between-neighbourhood (neigh) MOR to
the variance components model estimates using the following:

estadd scalar bimor =   exp(sqrt(2*(0.58+2.56))*invnormal(3/4)), :BYPVarComp2
estadd scalar bnmor = exp(sqrt(2*(0.58))*invnormal(3/4)), :BYPVarComp2

I can then display the estimates using esttab

esttab BYPVarComp2, stats(bimor bnmor)

What I'd like to do now is not have to rely on automatically adding in
the variance estimates (0.58 and 2.56 in this case) to these
statements. So question 1 is, how would I retrieve the estimates for
var(_cons) from xtmelogit (I couldn't see them in the list at the end
of the help menu) and place them in the estadd statement?

Once I've added the scalars (i.e. bamor or bnmor) to the xtmelogit
estimates, I cannot then replace or delete them. So question 2 is, how
would I go about replacing them if I make a mistake in the
calculations?

Thanks for your time,

Jamie

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