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: hierarchical logistic regression command
From
Richard Williams <[email protected]>
To
[email protected], <[email protected]>
Subject
Re: st: hierarchical logistic regression command
Date
Fri, 17 Feb 2012 08:19:01 -0500
At 05:56 AM 2/16/2012, Maria Niarchou wrote:
Hi,
>
> I would like to perform a hierarchical logistic regression
analysis in which
> independent variables are entered in blocks. 'Hireg' doesn't seem
to work with categorical outcomes.
> Could you please let me know if there is an alternative command to do this?
>
> Thanks,
> Maria
There are potential problems with comparing logit coefficients
between nested models. Besides the pieces already cited, see
http://www.nd.edu/~rwilliam/stats/Oglm.pdf
http://www.nd.edu/~rwilliam/stats/Oglm-Handout.pdf
However, I wouldn't say that you should never use commands like
-nestreg-. It is very common to do chi-square contrasts between
nested models, e.g. having first entered demographic variables, maybe
you want to then test whether social psychological measures add
anything to the fit of the model. It is not unusual to present a
series of chi-square contrasts and then present only the coefficients
for your preferred model; see, for example, the Hauser and Andrew
piece referenced in my handout.
In addition, comparison problems may not be that important in
practice; there is a good chance you will actually be understating
the importance of any changes you detect; and there are ways to deal
with the problems. Y-standardization has been the most widely used
practice in the past, but I think the new KHB method mentioned in the
handout has a lot of potential.
Finally, if you do present the coefficients for several nested
models, you'll have a lot of company. It took my grad student about a
week to find dozens of examples where this is done. He has since been
getting ahold of a lot of the data sets so we can see how much harm
has been done in practice. It is easy to show the problems in theory,
but showing that any horrendous mistakes have been made in practice
is another matter.
-------------------------------------------
Richard Williams, Notre Dame Dept of Sociology
OFFICE: (574)631-6668, (574)631-6463
HOME: (574)289-5227
EMAIL: [email protected]
WWW: http://www.nd.edu/~rwilliam
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/