st: New version of the -smileplot- package on SSC

[Roger Newson <roger.newson@kcl.ac.uk>]

Hello All

Thanks to Kit Baum, there is now a new version of the -smileplot- package 
on SSC. In Stata, type -ssc desc smileplot- to find out more.

The -smileplot- package is as described below on my website. The new 
version has all the same programs as the old version. However, the help 
files now contain a reference to the Stata Journal paper "Multiple-test 
procedures and smile plots" (by myself and the ALSPAC Study Team, published 
earlier this week), together with hypertext to download a pre-publication 
draft of the paper from my website.

Best wishes

Roger


TITLE
      smileplot: Multiple test procedures and smile plots

DESCRIPTION/AUTHOR(S)
      This package contains the programs multproc, smileplot and smileplot7.
      multproc inputs a data set with 1 observation for each of a set of 
multiple
      significance tests and data on the P-values, and carries out a 
multiple test
      procedure chosen by the user to define a corrected overall critical 
P-value
      for accepting or rejecting the null hypotheses tested. These procedures
      may be one-step, step-up or step-down, and may control the 
familywise error
      rate (eg the Bonferroni, Sidak, Holm, Holland-Copenhaver, Hochberg 
and Rom
      procedures) or the false discovery rate (eg the Simes, Benjamini-Liu,
      Benjamini-Yekutieli and Benjamini-Krieger-Yekutieli procedures). 
smileplot,
      and its Stata 7 version smileplot7, work by calling multproc and then
      creating a smile plot, with data points corresponding to multiple 
estimated
      parameters, the P-values (on a reverse log scale) on the Y-axis, and the
      corresponding parameter estimates (or another variable) on the 
X-axis. There
      are Y-axis reference lines at the uncorrected and corrected overall 
critical
      P-values. The reference line at the corrected critical P-value, 
known as the
      parapet line, is interpreted informally as a boundary between data 
mining and
      data dredging. multproc, smileplot and smileplot7 are used on data 
sets with
      one observation per estimated parameter and data on estimates and their
      P-values, which may be created using parmby, parmest, statsby or 
postfile.

      Author: Roger Newson
      Distribution-Date: 27june2003
      Stata-Version: 8

INSTALLATION FILES                                  (click here to install)
      multproc.ado
      multproc.hlp
      smileplot.ado
      smileplot.hlp
      smileplot7.ado
      smileplot7.hlp

--
Roger Newson
Lecturer in Medical Statistics
Department of Public Health Sciences
King's College London
5th Floor, Capital House
42 Weston Street
London SE1 3QD
United Kingdom

Tel: 020 7848 6648 International +44 20 7848 6648
Fax: 020 7848 6620 International +44 20 7848 6620
  or 020 7848 6605 International +44 20 7848 6605
Email: roger.newson@kcl.ac.uk
Website: http://www.kcl-phs.org.uk/rogernewson

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

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