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st: New versions of -punaf-, -punafcc-, -regpar-, -marglmean- and -margprev- on SSC
From
"Roger B. Newson" <[email protected]>
To
"[email protected]" <[email protected]>
Subject
st: New versions of -punaf-, -punafcc-, -regpar-, -marglmean- and -margprev- on SSC
Date
Tue, 01 Oct 2013 11:44:00 +0100
Thanks yet again to Kit Baum, new versions of the -punaf-, -punafcc-,
-regpar-, -marglmean- and -margprev- 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 -punaf-, -punafcc-, -regpar-, -marglmean- and -margprev- packages
are described as below on my website, and are front ends for -margins-
and -nlcom- for estimating population unattributable and attributable
risks and fractions, scenario arithmetic means and scenario prevalences,
all with confidence limits. They were presented at the 2012 Stata User
Meeting (Newson, 2012). The new versions are updated to Stata Version
13, and add a -df(#)- option, like those for -margins- and -nlcom- under
Stata Version 13, to specify non-default degrees of freedom for
calculating the confidence limits. I have also reformed the output
format for the matrix of confidence intervals, which is now %9.0g (as
used by -centile- in official Stata), instead of %10.0g (as before). I
would like to thank Bill Gould of StataCorp for suggesting this change
in the output format at the 2012 UK Stata User Meeting, to reduce the
number of unnecessary decimal places in the output.
Users of Stata Versions 12 and 11 can still download the Stata Version
12 versions of -punaf-, -punafcc-, -regpar-, -marglmean- and -margprev-,
and the Stata Version 11 version of -punaf-, from my website by typing,
in Stata,
net from "http://www.imperial.ac.uk/nhli/r.newson/";
and selecting the subdirectory for the most recent Stata version of the
appropriate package compatible with their versions of Stata.
Best wishes
Roger
References
Newson, R. B. 2012. Scenario comparisons: How much good can we do?
Presented at the 18th United Kingdom Stata Users' Group Meeting, 13–14
September, 2012. Download from
http://ideas.repec.org/p/boc/usug12/01.html
--
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.
TITLE
punaf: Population attributable fractions for cohort studies
DESCRIPTION/AUTHOR(S)
punaf calculates confidence intervals for population attributable
fractions, and also for scenario means and their ratio, known as
the population unattributable fraction. punaf can be used after
an estimation command whose predicted values are interpreted as
conditional arithmetic means, such as logit, logistic, poisson,
or glm. It estimates the logs of two scenario means, the
baseline scenario ("Scenario 0") and a fantasy scenario
("Scenario 1"), in which one or more exposure variables are
assumed to be set to particular values (typically zero), and any
other predictor variables in the model are assumed to remain the
same. It also estimates the log of the ratio of the Scenario 1
mean to the Scenario 0 mean. This ratio is known as the
population unattributable fraction, and is subtracted from 1 to
derive the population attributable fraction, defined as the
proportion of the mean of the outcome variable attributable to
living in Scenario 0 instead of Scenario 1.
Author: Roger Newson
Distribution-Date: 25september2013
Stata-Version: 13
INSTALLATION FILES (click here to install)
punaf.ado
punaf_p.ado
punaf.sthlp
---------------------------------------------------------------------------------------------
(click here to return to the previous screen)
---------------------------------------------------------------------------------------------
package punafcc from http://www.imperial.ac.uk/nhli/r.newson/stata13
---------------------------------------------------------------------------------------------
TITLE
punafcc: Population attributable fractions for case-control and
survival studies
DESCRIPTION/AUTHOR(S)
punafcc calculates confidence intervals for population attributable
and unattributable fractions in case-control or survival studies.
punafcc can be used after an estimation command whose parameters are
interpreted as log rate ratios, such as logit or logistic for
case-control data, or stcox for survival data. It estimates the log
of the mean rate ratio, in cases or deaths, between 2 scenarios, a
baseline scenario ("Scenario 0") and a fantasy scenario ("Scenario
1"), in which one or more exposure variables are assumed to be set
to particular values (typically zero), and any other predictor
variables in the model are assumed to remain the same. This ratio
is known as the population unattributable fraction (PUF), and is
subtracted from 1 to derive the population attributable fraction
(PAF), defined as the proportion of the cases or deaths attributable
to living in Scenario 0 instead of Scenario 1.
Author: Roger Newson
Distribution-Date: 25september2013
Stata-Version: 13
INSTALLATION FILES (click here to install)
punafcc.ado
punafcc_p.ado
punafcc.sthlp
---------------------------------------------------------------------------------------------
(click here to return to the previous screen)
---------------------------------------------------------------------------------------------
package regpar from http://www.imperial.ac.uk/nhli/r.newson/stata13
---------------------------------------------------------------------------------------------
TITLE
regpar: Population attributable risks from binary regression models
DESCRIPTION/AUTHOR(S)
regpar calculates confidence intervals for population attributable
risks, and also for scenario proportions. regpar can be used after
an estimation command whose predicted values are interpreted as
conditional proportions, such as logit, logistic, probit, or glm.
It estimates two scenario proportions, a baseline scenario
("Scenario 0") and a fantasy scenario ("Scenario 1"), in which one
or more exposure variables are assumed to be set to particular
values (typically zero), and any other predictor variables in the
model are assumed to remain the same. It also estimates the
difference between the Scenario 0 proportion and the Scenario 1
proportion. This difference is known as the population
attributable risk (PAR), and represents the amount of risk
attributable to living in Scenario 0 instead of Scenario 1.
Author: Roger Newson
Distribution-Date: 25september2013
Stata-Version: 13
INSTALLATION FILES (click here to install)
regpar.ado
regpar_p.ado
regpar.sthlp
---------------------------------------------------------------------------------------------
(click here to return to the previous screen)
---------------------------------------------------------------------------------------------
package marglmean from http://www.imperial.ac.uk/nhli/r.newson/stata13
---------------------------------------------------------------------------------------------
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: 25september2013
Stata-Version: 13
INSTALLATION FILES (click here to install)
marglmean.ado
marglmean_p.ado
marglmean.sthlp
---------------------------------------------------------------------------------------------
(click here to return to the previous screen)
---------------------------------------------------------------------------------------------
package margprev from http://www.imperial.ac.uk/nhli/r.newson/stata13
---------------------------------------------------------------------------------------------
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: 25september2013
Stata-Version: 13
INSTALLATION FILES (click here to install)
margprev.ado
margprev_p.ado
margprev.sthlp
---------------------------------------------------------------------------------------------
(click here to return to the previous screen)
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