st: New version of -punafcc- on SSC

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

Sorry again! I even had the wrong email header! The package is 
-punafcc-, not -punaf- (which has not changed).

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.

On 19/04/2013 14:35, Roger B. Newson wrote:
> Thanks as always to Kit Baum, a new version of the -punafcc- 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 -punafcc-.
>
> The -punafcc- package is described as below on my website. The new
> version fixes a bug, which caused - punafcc- to give the wrong results
> when called after -stcox- in a survival dataset with censored lifetimes.
> This is now fixed.
>
> I would like to thank Brian Claggett of Harvard University for alerting
> me to this bug, and Isabel Canette of Stata Technical Support for her
> helpful advice about how best to correct this bug. And I would like to
> apologise for any inconvenience caused. (I have added a new test
> sequence to my certification script for -punafcc- to check that it stays
> fixed.)
>
> 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 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: 17april2013
>        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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