st: New versions of -punaf-, -punafcc-, -regpar- and -margprev- on SSC

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

Thanks as always to Kit Baum, new versions of the packages -punaf-, 
-punafcc-, -regpar- and -margprev- are now available for download from 
SSC. In Stata, use the -ssc- package to do this, or -adoupdate- if you 
already have old versions of these packages.

The packages -punaf-, -punafcc-, -regpar- and -margprev- are described 
as below on my website, and are front ends for -margins- and -nlcom- for 
estimating population unattributable and attributable riska and 
fractions for scenario comparisons. The new versions fix a confusing 
bug, which appeared during the last update, and which caused the 
matrices of asymmetric confidence intervals for the untransformed 
parameters to be printed without their row labels, which contain the 
parameter names. This is now 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.

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: 16october2013
      Stata-Version: 13

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

--------------------------------------------------------------------------------------

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: 16october2013
      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: 16october2013
      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 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: 16october2013
      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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