st: arranging columns in estout

[Richard Hiscock <rhiscock@netspace.net.au>]

Hi everyone,

I am trying to automate results from univariable logistic regression  
into table using estout package,
my command lines are:

****Unadjusted
local tablist arm asa antib_proph act_lab antib_24 cs_type
set more off
foreach v of varlist `mylist' {
			eststo: logistic  infection_any `v'
}
estout * , eform cells("b(fmt(1)) p(fmt(2)) ci(fmt(1)) " se(par fmt 
(2))) style(fixed) drop(_cons) modelwidth(10)

this produces output as desired except that variables are stacked/ 
staggered across table (see below). the staggering is not corrected
by saving as a txt file.
Is it possible to arrange est1-est6 in a vertical stack like:

arm 		b/se   p   ci95
asa     	b/se   p   ci95
antib_proph	...


I have searched the estout help file and can't identify a solution.
thanks Richard Hiscock


. estout * , eform cells("b(fmt(1)) p(fmt(2)) ci(fmt(1)) " se(par fmt 
(2))) style(fixed) drop(_cons) modelwidth(10)

                   est1                              
est2                             est3                             e
> st4                             est5                             est6
                   b/se          p       ci95       b/se           
p       ci95       b/se          p       ci95       b
> /se          p       ci95       b/se          p       ci95       b/ 
se          p       ci95
arm                 0.6       0.37    0.2,1.7
>
                 (0.33)
>
asa                                                  1.0       0.96     
0.5,1.9
>
                                                  (0.33)
>
antib_proph 
                                                                           1.3 
       0.73    0.3,6.6
>
                                                                                   (1.09 
)
>
act_lab
> 1.1       0.89    0.4,2.8
                                                                                                                    (0 
.
> 52)
antib_24
>                                  3.6       0.37   0.2,59.8

>                               (5.15)
cs_type
>                                                                    
1.0       0.94    0.4,2.6

>                                                                (0.49)

 
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