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st: New version of -punaf- on SSC
From
"Roger B. Newson" <[email protected]>
To
"[email protected]" <[email protected]>
Subject
st: New version of -punaf- on SSC
Date
Thu, 27 Oct 2011 16:02:51 +0100
Thanks as always to Kit Baum, a new version of the -punaf- package is
now available for download from SSC. In Stata, use the -ssc- command to
do this, or -adoupdate- if you already have an old version of -punaf-.
The -punaf- package is described as below on my website. The new version
fixes a bug, which caused -punaf- always to calculate Normal confidence
intervals for the population unattributable fraction (PAF), even when
the confidence intervals for the population unattributable fraction
(PUF) were calculated using the t-distribution. This bug is not often
encountered, as binomial models usually do not use the t-distribution.
However, the t-distribution is used when the binomial regression command
(eg -logit-) is called with the -svy:- prefix and the user specifies the
option -vce(unconditional)- to -punaf- (which passes that option through
to -margins-).
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.
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package punaf from http://www.imperial.ac.uk/nhli/r.newson/stata12
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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: 26october2011
Stata-Version: 12
INSTALLATION FILES (click here to install)
punaf.ado
punaf_p.ado
punaf.sthlp
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