Fw: Re: Binary DV + Categorical IVs

[SR Millis-3]

Stata also does random effects logistic regresssion: xtmelogit.


Scott R Millis, PhD, MEd, ABPP (CN,CL,RP), CStat
Professor & Director of Research
Dept of Physical Medicine & Rehabilitation
Wayne State University School of Medicine
261 Mack Blvd
Detroit, MI 48201
Email:  [hidden email]
Tel: [phone]
Fax: [phone]

> --- On Thu, 6/26/08, Swank, Paul R
> <[hidden email]> wrote:
>
> > From: Swank, Paul R <[hidden email]>
> > Subject: Re: Binary DV + Categorical IVs
> > To: [hidden email]
> > Date: Thursday, June 26, 2008, 3:03 PM
> > As does MLWin and SAS.
> >
> > Paul R. Swank, Ph.D.
> > Professor and Director of Research
> > Children's Learning Institute
> > University of Texas Health Science Center - Houston
> >
> >
> > -----Original Message-----
> > From: SPSSX(r) Discussion
> [mailto:[hidden email]]
> > On Behalf Of
> > Burleson,Joseph A.
> > Sent: Thursday, June 26, 2008 12:53 PM
> > To: [hidden email]
> > Subject: Re: Binary DV + Categorical IVs
> >
> > The HLM software supports the use of random effects
> > logistic regression.
> >
> > Joe Burleson
> >
> > -----Original Message-----
> > From: SPSSX(r) Discussion
> [mailto:[hidden email]]
> > On Behalf Of
> > Reutter, Alex
> > Sent: Thursday, June 26, 2008 1:04 PM
> > To: [hidden email]
> > Subject: Re: Binary DV + Categorical IVs
> >
> > There currently is no procedure for running a logistic
> > regression with
> > random effects; if you have repeated measurements, you
> can
> > run
> > Generalized Estimating Equations (GENLIN) with a
> > dichotomous DV.
> >
> > Alex
> >
> >
> > ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
> > Sara House wrote on Fri, Jun 20, 2008 at 9:13AM
> >
> > BTW, does anyone know if there is a way to do mixed
> model
> > analyses with
> > dichotomous data in SPSS?  I don't have access to
> SAS
> > at work and I'm
> > more familiar with SPSS anyway.
> >
> > Sara
> >
> > -----Original Message-----
> > From: SPSSX(r) Discussion
> [mailto:[hidden email]]
> > On Behalf Of
> > Statmanz
> > Sent: Monday, June 23, 2008 10:36 AM
> > To: [hidden email]
> > Subject: Binary DV + Categorical IVs
> >
> > I have a binary DV outcome set as a 1 for
> 'yes' and
> > 0 for 'no' based on
> > about 100 cases per applicant for 3 factors for which
> 1 is
> > under 6
> > different
> > scenarios then I have a group indicator and the
> stimulation
> > type. My
> > objective is a model to determine the affect on the DV
> > considering the
> > set
> > of 3 factors.
> >
> > Thus, each applicant has about 100 observations that
> is
> > split based on
> > scenario within group (a or b), this combination has a
> > stimulus attached
> > to
> > it. So, subject "ABC" for scenario
> "length
> > in line" in group "A" was
> > presented stimulus "XYZ." If a reaction
> occurred
> > then the outcome is a
> > '1'
> > else a '0'. Hope this is clear?
> >
> > I am eyeing a linear mixed repeated measures model but
> the
> > binary DV
> > gives
> > me pause.
> >
> > Any suggestions are welcome
> >
> > Tks
> > W
> >
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=====================
To manage your subscription to SPSSX-L, send a message to
[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