SPSSX Discussion - Re: Account for clusters in binary logistic regression

Re: Account for clusters in binary logistic regression

Posted by jess on Nov 15, 2012; 6:29pm
URL: http://spssx-discussion.165.s1.nabble.com/Account-for-clusters-in-binary-logistic-regression-tp5716201p5716235.html

HI Ryan and Metthew,

I am lost in this discussion. I indeed have a binary outcome. And I want to control for certain practice patterns / outcome from surgeons. Indeed, this will make my data hierarchical (nested) I guess.

In stata, there is a command which you can use to perform an official hierarchical model putting CLUSTER(variable) after your logistic command. This is what I want to do...but than with SPSS..

Thanks!

Op 15 nov. 2012, om 11:21 heeft R B [via SPSSX Discussion] het volgende geschreven:

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
<<a href="x-msg://23/user/SendEmail.jtp?type=node&node=5716227&i=0" target="_top" rel="nofollow" link="external">[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" <<a href="x-msg://23/user/SendEmail.jtp?type=node&node=5716227&i=1" target="_top" rel="nofollow" link="external">[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.
>>
>> =====================
>> To manage your subscription to SPSSX-L, send a message to
>> <a href="x-msg://23/user/SendEmail.jtp?type=node&node=5716227&i=2" target="_top" rel="nofollow" link="external">[hidden email] (not to SPSSX-L), with no body text except the
>> command. To leave the list, send the command
>> SIGNOFF SPSSX-L
>> For a list of commands to manage subscriptions, send the command
>> INFO REFCARD
>
> =====================
> To manage your subscription to SPSSX-L, send a message to
> <a href="x-msg://23/user/SendEmail.jtp?type=node&node=5716227&i=3" target="_top" rel="nofollow" link="external">[hidden email] (not to SPSSX-L), with no body text except the
> command. To leave the list, send the command
> SIGNOFF SPSSX-L
> For a list of commands to manage subscriptions, send the command
> INFO REFCARD
=====================
To manage your subscription to SPSSX-L, send a message to
<a href="x-msg://23/user/SendEmail.jtp?type=node&node=5716227&i=4" target="_top" rel="nofollow" link="external">[hidden email] (not to SPSSX-L), with no body text except the
command. To leave the list, send the command
SIGNOFF SPSSX-L
For a list of commands to manage subscriptions, send the command
INFO REFCARD

If you reply to this email, your message will be added to the discussion below:
http://spssx-discussion.1045642.n5.nabble.com/Account-for-clusters-in-binary-logistic-regression-tp5716201p5716227.html

To unsubscribe from Account for clusters in binary logistic regression, click here.
NAML