st: New version of -punaf- on SSC

[Roger Newson <r.newson@imperial.ac.uk>]

Thanks yet again 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 
has been updated to Stata Version 12. This fixes a problem with the old 
Stata Version 11 -punaf-, which could not run in Stata Version 12 
because of a change in the -margins- command during the version change. 
I have also added a new option -atzero()-, which allows the user to 
define a baseline scenario other than the real world from which the data 
were sampled, and to compare this fantasy baseline scenario with the 
fantasy alternative scenario specified by the -atspec()- option. For 
instance, in the example dataset -lbw.dta-, which the user can download 
by typing

use http://www.stata-press.com/data/r11/lbw.dta, clear

in Stata, it is possible now to use a logistic regression model for the 
outcome of low birthweight, and to use -punaf- to estimate the rate 
ratio between a fantasy dream scenario in which no pregnant women smoke 
and a fantasy nightmare scenario in which all pregnant women smoke.

Stata 11 users can still download the old Stata 11 version of -punaf- 
from my website by typing, in Stata,

net from "http://www.imperial.ac.uk/nhli/r.newson/stata11/";

and selecting and installing -punaf-.

I would like to thank Andrew (graupel75@gmail.com) again for alerting me 
to the catastrophic version-change bug on Statalist. I would also like 
to thank Kristin MacDonald at Stata Tech-Support for some helpful 
discussions last year about how I might extend the methods of -punaf- 
and -margins- to calculate population unattributable and attributable 
fractions for case-control models and/or Cox regression. I am returning 
to this problem now. And thanks to StataCorp for their amazingly 
powerful -margins- command which made -punaf- possible.

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: r.newson@imperial.ac.uk
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: 04october2011
      Stata-Version: 12

INSTALLATION FILES                                  (click here to install)
      punaf.ado
      punaf_p.ado
      punaf.sthlp
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