Re: Account for clusters in binary logistic regression

Posted by Ryan on Nov 15, 2012; 4:14pm
URL: http://spssx-discussion.165.s1.nabble.com/Account-for-clusters-in-binary-logistic-regression-tp5716201p5716227.html

Matthew,

Unless I've misread the original post, I disagree completely. The
dependent variable is binary. Why are suggesting a log link? And are
you suggesting treating the DV as Gaussian? A more appropriate link
(the canonical link) would be logit, along with a binary/binomial
distribution for the DV. If there are [presumably] multiple
observations per surgeon and/or multiple observations per hospital,
then there is nesting which should be taken into account.

Ryan

On Wed, Nov 14, 2012 at 6:43 PM, Poes, Matthew Joseph
<[hidden email]> wrote:

> 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.
>
> Sent from my iPhone
>
> On Nov 14, 2012, at 5:20 PM, "jess" <[hidden email]> wrote:
>
>> 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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