MARGLMEAN: Stata module to compute marginal log means from regression models
Abstractmarglmean calculates symmetric confidence intervals for log marginal means (also known as log scenario means), and asymmetric confidence intervals for the marginal means themselves. marglmean can be used after an estimation command whose predicted values are interpreted as positive conditional arithmetic means of non-negative-valued outcome variables, such as logit, logistic, probit, poisson, or glm with most non-Normal distributional families. It can estimate a marginal mean for a scenario ("Scenario 1"), in which one or more exposure variables may be assumed to be set to particular values, and any other predictor variables in the model are assumed to remain the same.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoSoftware component provided by Boston College Department of Economics in its series Statistical Software Components with number S457367.
Programming language: Stata
Requires: Stata version 13
Date of creation: 01 Nov 2011
Date of revision: 30 Sep 2013
Note: This module should be installed from within Stata by typing "ssc install marglmean". Windows users should not attempt to download these files with a web browser.
Contact details of provider:
Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Web page: http://fmwww.bc.edu/EC/
More information through EDIRC
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F Baum).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.