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

From   Roger Newson <>
Subject   st: New version of the -smileplot- package on SSC
Date   Fri, 27 Jun 2003 16:20:05 +0100

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


smileplot: Multiple test procedures and smile plots

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)

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

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

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