Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
RE: st: Multinomial logistic regression using GEE or random intercepts
From
Jo-Anna Baxter <[email protected]>
To
"[email protected]" <[email protected]>
Subject
RE: st: Multinomial logistic regression using GEE or random intercepts
Date
Thu, 18 Apr 2013 13:45:20 +0000
Thanks so much, Steve!
________________________________________
From: [email protected] [[email protected]] on behalf of Steve Samuels [[email protected]]
Sent: April 17, 2013 6:40 PM
To: [email protected]
Subject: Re: st: Multinomial logistic regression using GEE or random intercepts
-gllamm- can estimate random effects with multinomial logistic regression. See section 9.3 of the GLLAMM manual.
Steve
On Apr 17, 2013, at 3:39 PM, Jo-Anna Baxter wrote:
Hello,
In my analysis, I am using multinomial logistic regression to estimate the odds of subjects selecting of different supplements. The outcome measure is supplement selection (of which there are five options). Subjects were asked about their supplement selection multiple times throughout the study, so they have contributed multiple outcomes. Since there are repeated observations for each subject, within-subject correlation must be considered.
At this time, I plan to use the mlogit function with the vce(cluster ) option to account for the non-independent nature of the data. However, is there a way to do multinomial logistic regression more formally using GEE or random intercepts?
Many thanks,
Jo-Anna
________________________________
This e-mail may contain confidential, personal and/or health information(information which may be subject to legal restrictions on use, retention and/or disclosure) for the sole use of the intended recipient. Any review or distribution by anyone other than the person for whom it was originally intended is strictly prohibited. If you have received this e-mail in error, please contact the sender and delete all copies.
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/faqs/resources/statalist-faq/
* http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/faqs/resources/statalist-faq/
* http://www.ats.ucla.edu/stat/stata/
________________________________
This e-mail may contain confidential, personal and/or health information(information which may be subject to legal restrictions on use, retention and/or disclosure) for the sole use of the intended recipient. Any review or distribution by anyone other than the person for whom it was originally intended is strictly prohibited. If you have received this e-mail in error, please contact the sender and delete all copies.
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/faqs/resources/statalist-faq/
* http://www.ats.ucla.edu/stat/stata/