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st: New versions of -parmest- and -somersd- on SSC


From   "Newson, Roger B" <r.newson@imperial.ac.uk>
To   statalist@hsphsun2.harvard.edu
Subject   st: New versions of -parmest- and -somersd- on SSC
Date   Thu, 25 Sep 2008 15:43:14 +0100

Thanks to Kit Baum, new versions of the -parmest- and -somersd- packages
are now available for download from SSC. In Stata, use the -ssc- or
-adoupdate- commands to do this.

The -parmest- and -somersd- packages are described as below on my
website. The new -parmest- contains the same programs as before.
However, the on-line help now contains references to my presentation on
parmest at the 14th UK Stata User Meeting in London on 8-9 September,
2008.

The new -somersd- package fixes a bug in the -censlope- module, causing
-censlope- not to handle Stata weights properly. Fortunately, this
horrendous bug wass local to the -censlope- module, and had no effect on
the older and more established -cendif- and -somersd- modules. However,
I have now fixed this bug in -censlope-, and added to the certification
script a check that -censlope- functions correctly with Stata weights.

For Stata 9 users of -somersd-, I have also fixed this bug in the old
Stata 9 version of the -somersd- package, which they can download from
my website by typing, in Stata 9,

net from "http://www.imperial.ac.uk/nhli/r.newson/stata9/";

and selecting and downloading the -somersd- package.

I would like to thank Steve Samuels for drawing my attention to
applications using weights with -cendif-, which prompted me to check
that I could do the same with -censlope- and to discover the bug. And I
would also like to apologize to all users for allowing such an
elementary and potentially treacherous bug to slip through the
certification process in the first place.

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: www.imperial.ac.uk/nhli/r.newson/
Departmental Web page:
http://www1.imperial.ac.uk/medicine/about/divisions/nhli/respiration/pop
genetics/reph/

Opinions expressed are those of the author, not of the institution.

------------------------------------------------------------------------
--------------------
package parmest from http://www.imperial.ac.uk/nhli/r.newson/stata10
------------------------------------------------------------------------
--------------------

TITLE
      parmest: Create datasets with 1 observation per estimated
parameter

DESCRIPTION/AUTHOR(S)
      The parmest package has 4 modules: parmest, parmby, parmcip and
metaparm.
      parmest creates an output dataset, with 1 observation per
parameter of the
      most recent estimation results, and variables corresponding to
parameter names,
      estimates, standard errors, z- or t-test statistics, P-values,
confidence
      limits and other parameter attributes. parmby is a quasi-byable
extension to
      parmest, which calls an estimation command, and creates a new
dataset, with 1
      observation per parameter if the by() option is unspecified, or 1
observation
      per parameter per by-group if the by() option is specified.
parmcip inputs
      variables containing estimates, standard errors and (optionally)
degrees of
      freedom, and computes new variables containing confidence
intervals and
      P-values. metaparm inputs a parmest-type dataset with 1
observation for each
      of a set of independently-estimated parameters, and outputs a
dataset with
      1 observation for each of a set of linear combinations of these
parameters,
      with confidence intervals and P-values, as for a meta-analysis.
The output
      datasets created by parmest, parmby or metaparm  may be listed to
the Stata
      log and/or saved to a file and/or retained in memory (overwriting
any
      pre-existing dataset). The confidence intervals, P-values and
other parameter
      attributes in the dataset may be listed and/or plotted and/or
tabulated.
      
      Author: Roger Newson
      Distribution-Date: 24september2008
      Stata-Version: 10

INSTALLATION FILES                                  (click here to
install)
      metaparm.ado
      parmby.ado
      parmcip.ado
      parmest.ado
      metaparm.sthlp
      metaparm_content_opts.sthlp
      metaparm_outdest_opts.sthlp
      metaparm_resultssets.sthlp
      parmby.sthlp
      parmby_only_opts.sthlp
      parmcip.sthlp
      parmcip_opts.sthlp
      parmest.sthlp
      parmest_ci_opts.sthlp
      parmest_outdest_opts.sthlp
      parmest_resultssets.sthlp
      parmest_varadd_opts.sthlp
      parmest_varmod_opts.sthlp
------------------------------------------------------------------------
--------------------
(click here to return to the previous screen)

------------------------------------------------------------------------
--------------------
package somersd from http://www.imperial.ac.uk/nhli/r.newson/stata10
------------------------------------------------------------------------
--------------------

TITLE
      somersd: Kendall's tau-a, Somers' D and percentile slopes

DESCRIPTION/AUTHOR(S)
      The somersd package contains the programs somersd, censlope and
cendif,
      which calculate confidence intervals for a range of parameters
behind
      rank or "nonparametric" statistics. somersd calculates confidence
      intervals for generalized Kendall's tau-a or Somers' D parameters,
      and stores the estimates and their covariance matrix as estimation
results.
      It can be used on left-censored, right-censored, clustered and/or
      stratified data. censlope is an extended version of somersd, which
also
      calculates confidence limits for the generalized Theil-Sen median
slopes
      (or other percentile slopes) corresponding to the version of
Somers' D
      or Kendall's tau-a estimated. cendif is an easy-to-use program to
      calculate confidence intervals for Hodges-Lehmann median
differences
      (or other percentile differences) between two groups. The somersd
package
      can be used to calculate confidence intervals for a wide range of
      rank-based parameters, which are special cases of Kendall's tau-a,
      Somers' D or percentile slopes. These parameters include
differences
      between proportions, Harrell's c index, areas under receiver
operating
      characteristic (ROC) curves, differences between Harrell's c
indices or
      ROC areas, Gini coefficients, population attributable risks,
median
      differences, ratios, slopes and per-unit ratios, and the
parameters
      behind the sign test and the Wilcoxon-Mann-Whitney or
Breslow-Gehan
      ranksum tests. Full documentation of the programs (including
methods and
      formulas) can be found in the manual files somersd.pdf,
censlope.pdf and
      cendif.pdf, which can be viewed using the Adobe Acrobat Reader.
      
      Author: Roger Newson
      Distribution-date: 24September2008
      Stata-version: 10
      

INSTALLATION FILES                                  (click here to
install)
      cendif.ado
      censlope.ado
      somers_p.ado
      somersd.ado
      _bcsf_bisect.mata
      _bcsf_bracketing.mata
      _bcsf_regula.mata
      _bcsf_ridders.mata
      _blncdtree.mata
      _somdtransf.mata
      _u2jackpseud.mata
      _v2jackpseud.mata
      blncdtree.mata
      tidot.mata
      tidottree.mata
      lsomersd.mlib
      cendif.sthlp
      censlope.sthlp
      censlope_iteration.sthlp
      mf_bcsf_bracketing.sthlp
      mf_blncdtree.sthlp
      mf_somdtransf.sthlp
      mf_u2jackpseud.sthlp
      somersd.sthlp
      somersd_mata.sthlp

ANCILLARY FILES                                     (click here to get)
      cendif.pdf
      censlope.pdf
      somersd.pdf
------------------------------------------------------------------------
--------------------
(click here to return to the previous screen)


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