http://spssx-discussion.165.s1.nabble.com/Account-for-clusters-in-binary-logistic-regression-tp5716201p5716220.html
You want to use the mixed with log link dv. I believe it's under mixed generalized linear model. HLM is not a sampling issue, it's a nesting issue.
> Hi, I found this forum very helpful but I am very confused about the method
> of choice for the following problem:
>
> I have a dataset with multilevel/ hierarchical data, containing both data
> from different hospitals (hospitalID) and surgeons (surgeonID).
>
> In a binary logistic regression model looking at outcome y (yes/no), I want
> to idenitfy independent predictors (x1-xn) for outcome y, while accounting
> for hospital and/or surgeon ID.
>
> *Which method in SPSS 19 is appropriate to use if I want to run a formal
> hierarchical binary logitic model?*
> 1) Do I have to go through the complex sampling wizard? What do I have to
> fill in in the strata, cluster and weight fields in the 'preparing for
> analyses'? Going to the logistic regression option, how do set indicator
> variables and do I have to fill in 'factors'?) Is this model now accounting
> for hospitalID since I used the analyses preparation wizard or do I still
> have to fill in 'hospitalID' somewhere?
>
> 2) Use different 'blocks' in the 'normal' binary logistic regression?
>
> 3) Another method listed under regression which might be more appropriate?
>
> Thanks so much,
>
> Jess
>
>
>
> --
> View this message in context:
http://spssx-discussion.1045642.n5.nabble.com/Account-for-clusters-in-binary-logistic-regression-tp5716201.html> Sent from the SPSSX Discussion mailing list archive at Nabble.com.
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