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Re: st: RE: RE: RE: ci, return lists, and statsby commands

From   Fred Wolfe <[email protected]>
To   [email protected]
Subject   Re: st: RE: RE: RE: ci, return lists, and statsby commands
Date   Fri, 03 Oct 2003 18:07:02 -0500

Roger, is there a simple way to obtain exponentiated estimates/95% CI using parmsby and xtgee?



Here's one way. Another way would be to
do -statsby- separately for each variable
and -merge- the results. Another way
would be to -stack- your responses into
one variable and then apply -statsby-.
There are, no doubt, yet other ways.
One possible other way might be to use -parmby- (part of tthe -parmest- package) instead of -statsby-, and to use the -regress- command to generate the means for each variable, and then to use -dsconcat- to concatenate the output data sets for each variable. For instance, John might write a program

local i1=0
foreach X of var price mpg weight length {
local i1=`i1'+1
tempfile tf`i1'
parmby "regress `X'", saving(`tf`i1',replace) ylabel
dsconcat `tf1' `tf2' `tf3' `tf4'
gene foldrange=max95/min95

This will create a data set in the memory with 1 observation per variable and data on parameter estimates, confidence limits, P-values and fold ranges, overwriting the existing data. Optionally, the user can also save other estimation results, such as sample numbers.

To find out more about the -parmest- and -dsconcat- packages, type -ssc desc parmest- or -ssc desc dsconcat- inside Stata. More information about these and other packages for post-processing results can be found in Newson (2003), which can be downloaded as a pre-publication draft from my website at
either using a browser or using the Stata -net- command.

I hope this helps.


Fred Wolfe
National Data Bank for Rheumatic Diseases
Wichita, Kansas
Tel (316) 263-2125     Fax (316) 263-0761
[email protected]

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