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

Re: Account for clusters in binary logistic regression

Posted by Ryan on Nov 16, 2012; 4:47am
URL: http://spssx-discussion.165.s1.nabble.com/Account-for-clusters-in-binary-logistic-regression-tp5716201p5716248.html

Accounting for characteristics of subjects (e.g., gender, age, years of experience) does not necessitate a hierarchical model of any sort. Whether one should employ a sampling methodology procedure (cluster variable) versus a mixed modeling procedure (random effect) is an interesting issue, but at this point, your design and specific research question(s) are not clear to me.

Perhaps someone else can jump in and help at this point.

Ryan

On Nov 15, 2012, at 1:30 PM, jess <[hidden email]> wrote:

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

View this message in context: Re: Account for clusters in binary logistic regression
Sent from the SPSSX Discussion mailing list archive at Nabble.com.