st: New versions of -punaf- and -punafcc- on SSC

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

Thanks yet again to Kit Baum, new versions of the -punaf- and -punafcc- 
packages are now downloadable from SSC. In Stata, use the -ssc- command 
to do this, or -adoupdate- if you already have old versions of -punaf- 
and -punafcc- (like last week's versions).

The -punaf- and -punafcc- packages are described as below on my website, 
and estimate population unattributable and attributable fractions for 
cohort/cross-sectional and case-control/survival data, respectively. The 
new versions have had their on-line help updated to refer to each other, 
to the new package -regpar- for unattributable and attributable risks, 
and to the seminal Lane-Nelder paper on scenario comparisons. The 
packages -punaf-, -punafcc- and -regpar- therefore form a suite of 
packages for scenario comparison after binary, loglinear or Cox 
regression models, although they all function if downloaded separately.

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.

---------------------------------------------------------------------------
package punaf from http://www.imperial.ac.uk/nhli/r.newson/stata12
---------------------------------------------------------------------------

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: 01november2011
      Stata-Version: 12

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/stata12
---------------------------------------------------------------------------------------

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: 01november2011
      Stata-Version: 12

INSTALLATION FILES                                  (click here to install)
      punafcc.ado
      punafcc_p.ado
      punafcc.sthlp
---------------------------------------------------------------------------------------
(click here to return to the previous screen)

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