Account for clusters in binary logistic regression

Posted by jess on Nov 14, 2012; 8:42pm
URL: http://spssx-discussion.165.s1.nabble.com/Account-for-clusters-in-binary-logistic-regression-tp5716201.html

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