--- Charles Chasela <[email protected]> wrote:
> In doing a logistic regression, after storing A and B to do a
> Likelihood ratio test lrtest A B, it said there is a difference in
> the population in the two variables 884 vs 885.
>
> Is there anything I can do to deal with the problem.
The most likely cause is missing data. Stata will ignore an observation
if any of the variables in the model contains a missing value. So if
you leave out a variable that contains missing data then your sample
(not population) is likely to increase as Stata won't ignore those
observations with missing values on the variable you left out. The
example below reproduces this problem.
*-------- begin example ------------
sysuse auto, clear
logit foreign mpg rep78
est store a
logit foreign mpg
est store b
lrtest a b
*-------- end example --------------
(For more on how to use examples I sent to the Statalist, see
http://home.fsw.vu.nl/m.buis/stata/exampleFAQ.html )
If you type -count if missing(rep78)- you will see that rep78 contains
5 missing values. The easiest solution is to restrict your sample to
only those with complete observations in all variables of the most
complete model. The example below shows two ways of doing that:
*------------ begin example -------------
sysuse auto, clear
logit foreign mpg rep78
est store a
logit foreign mpg if e(sample)
est store b
lrtest a b
sysuse auto, clear
logit foreign mpg rep78
est store a
logit foreign mpg if !missing(rep78)
est store b
lrtest a b
*--------------- end example --------------
(For more on how to use examples I sent to the Statalist, see
http://home.fsw.vu.nl/m.buis/stata/exampleFAQ.html )
Hope this helps,
Maarten
-----------------------------------------
Maarten L. Buis
Department of Social Research Methodology
Vrije Universiteit Amsterdam
Boelelaan 1081
1081 HV Amsterdam
The Netherlands
visiting address:
Buitenveldertselaan 3 (Metropolitan), room N515
+31 20 5986715
http://home.fsw.vu.nl/m.buis/
-----------------------------------------
*
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