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st: New versions of -margprev- and -marglmean- for SSC
From
"Roger B. Newson" <[email protected]>
To
"[email protected]" <[email protected]>
Subject
st: New versions of -margprev- and -marglmean- for SSC
Date
Mon, 28 Nov 2011 22:02:21 +0000
Thanks as always to Kit Baum, new versions of the -margprev- and
-marglmean- packages are now available for download from SSC. In Stata,
use the -ssc- command to do this, or -adoupdate- if you already have old
versions of these packages.
The -margprev- and -marglmean- packages are described as below on my
website. They are front-ends for -margins-, allowing the user to
calculate confidence intervals for marginal prevalences and marginal
arithmetic means, respectively, using the Normalizing and
variance-stabilizing logit and log transformations, respectively. The
new versions add an option -noesample-, functioning as the function of
the same name for -margins-, and allowing the user to estimate
out-of-sample marginal prevalences and means. For instance, we might fit
logit or log-linear models to data for our own sample, and then load a
dataset representing a standard population, and estimate marginal
prevalences or means for that standard population. As an example, I have
used -margprev- to standardize disease prevalences from the centres of a
multi-centre European study to a European standard population with
standard numbers for each age group and gender, to show to the reader
that the differences in disease prevalence between centres are not
artefacts of differences in gender and/or age distribution between centres.
Best wishes
Roger
--
Roger B Newson BSc MSc DPhil
Lecturer in Medical Statistics
Respiratory Epidemiology and Public Health Group
National Heart and Lung Institute
Imperial College London
Royal Brompton Campus
Room 33, Emmanuel Kaye Building
1B Manresa Road
London SW3 6LR
UNITED KINGDOM
Tel: +44 (0)20 7352 8121 ext 3381
Fax: +44 (0)20 7351 8322
Email: [email protected]
Web page: http://www.imperial.ac.uk/nhli/r.newson/
Departmental Web page:
http://www1.imperial.ac.uk/medicine/about/divisions/nhli/respiration/popgenetics/reph/
Opinions expressed are those of the author, not of the institution.
---------------------------------------------------------------------------
package margprev from http://www.imperial.ac.uk/nhli/r.newson/stata12
---------------------------------------------------------------------------
TITLE
margprev: Marginal prevalences from binary regression models
DESCRIPTION/AUTHOR(S)
margprev calculates confidence intervals for marginal
prevalences, also known as scenario proportions. margprev can be
used after an estimation command whose predicted values are
interpreted as conditional proportions, such as logit, logistic,
probit, or glm. It estimates a marginal prevalence for a
scenario ("Scenario 1"), in which one or more predictor variables
may be assumed to be set to particular values, and any other
predictor variables in the model are assumed to remain the same.
Author: Roger Newson
Distribution-Date: 24november2011
Stata-Version: 12
INSTALLATION FILES (click here to install)
margprev.ado
margprev_p.ado
margprev.sthlp
---------------------------------------------------------------------------
(click here to return to the previous screen)
---------------------------------------------------------------------------
package marglmean from http://www.imperial.ac.uk/nhli/r.newson/stata12
---------------------------------------------------------------------------
TITLE
marglmean: Marginal log means from regression models
DESCRIPTION/AUTHOR(S)
marglmean 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.
Author: Roger Newson
Distribution-Date: 25november2011
Stata-Version: 12
INSTALLATION FILES (click here to install)
marglmean.ado
marglmean_p.ado
marglmean.sthlp
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(click here to return to the previous screen)
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