Re: Re: st: Comparison of Coefficients in Conditional Logistic regression

["A. Karvounidis" <A.Karvounidis@uvt.nl>]

Dear Maarten,
thanks for the help. Could you please be more specific with what do you mean by "derive good starting values
from the separately estimated models(*), and use those."? Moreover you said that if I want to use coefficients from the separetly regressions I need to do some computations. What computations can I do in order to compare them? thats the point...


-----Original Message-----
From: Tim Wade <wadetj@gmail.com>
To: statalist@hsphsun2.harvard.edu
Date: Tue, 19 Jun 2012 09:16:54 -0400
Subject: Re: st: Comparison of Coefficients in Conditional Logistic regression

Just a side-note, different sample sizes does not affect ability to
use -suest-, so there must be some other reason this command failed.

Tim


On Sat, Jun 16, 2012 at 9:27 AM, A. Karvounidis <A.Karvounidis@uvt.nl> wrote:
> Dear Statalist subscribers,
> My name is Anestis Karvounidis and I would like to pose a question regarding the comparison of the results of conditional logistic regression. I want to check for the moderatoring effect of type of business activity (if the company has manufacture or service activity in host country) in distance factors (Culture, geographic, economic). Given that the model was non convergent when I was including the interaction variables, I forced to run three times the same regression (Conditional logistic regression) with the same variables but with part of the initial sample. More specifically, the first model has the total sample, while the rest two models have the one only the part of sample with manufacture activity and the other the part with service activities.
> My point is to check if the type of business activity moderated or intensify distance effect. As a result I want to compare the coefficients of these 3 models. Can I do it directly that, or should I do any additional test. I found suest order of STATA but it does not work, probably because I have different size of sample. Should I prove that the change is statisticaly significant? How can I do it that?
>
> Thank you very much for your help.
>
> Kind regards,
> Anestis Karvounidis
>
>
>
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