Re: conditional logistic regression

Posted by Bruce Weaver on Mar 31, 2021; 6:29pm
URL: http://spssx-discussion.165.s1.nabble.com/conditional-logistic-regression-tp5740363p5740364.html

Hello Chantal.  Conditional logistic regression is certainly one option when
you have paired observations and a dichotomous outcome.  However,
generalized estimating equations provide another way of dealing with the
correlated nature of the paired observations.  And GENLIN allows you do use
that approach directly, with no need to cajole some other command (e.g.,
COXREG) into estimating the model you want.  You might find this old thread
in comp.soft-sys.stat.spss useful.

https://groups.google.com/g/comp.soft-sys.stat.spss/c/zkxR016mZxM

There are also plenty of articles you can use to defend use of GEE (if
necessary).  E.g., here is one I found useful:

Hanley, J. A., Negassa, A., Edwardes, M. D. D., & Forrester, J. E. (2003).
Statistical analysis of correlated data using generalized estimating
equations: an orientation. American journal of epidemiology, 157(4),
364-375.  https://academic.oup.com/aje/article/157/4/364/78911


HTH.



C_visser wrote

> Dear everyone,
>
> I am trying to use a conditional logistic regression in SPSS. I am using
> SPSS version 25. I have looked at a lot of youtube videos explaining the
> cox-regression method, but something is going wrong as it seems it is
> censoring too many cases. I think this is due to our study design and
> studied exposures, but I am not entirely sure (as I am just a beginner).
> Our
> study design is the following:
>
> We have participants with an certain exposure and want to compare their
> measurements of certain values before the exposure and afterwards. In this
> study they will receive this exposure two times. So we want to compare a
> certain variable at the time before the exposure, the time between the
> first
> and second exposure and after the second exposure. As we are measuring
> these
> variables in the same subjects, we think we should use a cross-over design
> and paired statics tests. Right now, I want to see if the subjects after
> the
> first and second exposure have a higher risk of a certain complication
> compared to before the exposure. An epidemiologist suggested using a
> conditional logistic regression.
>
> We have tried to do this test in spss by using the cox regression method.
> We
> have coded a casecontrol variable (before exposure = 2, after exposure =
> 1)
> as time, the depent variable as a categorical variable with 0 = no
> complication, 1 = complication, timing as covariate (0 = before exposure;
> 1
> = after exposure) and paired the measurement before and after exposure in
> the same subject using an identical identifier. However, when I compare
> the
> outcome with the mcnemar test it is not the same. Also it seems like spss
> is
> running the test on a smaller number of subjects than I expected.
>
> Can somebody help me with this problem?
>
> Kind regards,
>
> Chantal
>
>
>
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Bruce Weaver
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