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st: New version of -smileplot- on SSC


From   Roger Newson <roger.newson@kcl.ac.uk>
To   statalist@hsphsun2.harvard.edu
Subject   st: New version of -smileplot- on SSC
Date   Tue, 22 Nov 2005 15:00:27 +0000

Hello All

Thanks to Kit Baum, there is now a new version of the -smileplot- package available for download from SSC. In Stata, use the -ssc- command to do this.

The -smileplot- package is defined as below on my website. In the new version, the default value of the -refopts()- option is now -refopts(lstyle(xyline))-, and not -refopts(lstyle(refline))- as in the previous version. Therefore, unless the user specifies otherwise, the X- and Y-axis reference lines, representing the null hypothesis and the critical P-values, will be drawn using the same style as other X- and Y-axis reference lines, specified by the -xline()- and -yline()- options of -graph twoway-.

I hope this change doesn't cause too much inconvenience to users. It seems that StataCorp understand the term "reference lines" to mean something other than X- and Y-axis reference lines, at least if you read their own scheme files. To find more about line styles in Stata graphics, type

whelp linestyle

Best wishes

Roger


------------------------------------------------------------------------------------
package smileplot from http://www.kcl-phs.org.uk/rogernewson/stata8
------------------------------------------------------------------------------------

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: 22november2005
Stata-Version: 8

INSTALLATION FILES (click here to install)
multproc.ado
multproc.hlp
smileplot.ado
smileplot.hlp
smileplot7.ado
smileplot7.hlp
------------------------------------------------------------------------------------
(click here to return to the previous screen)

--
Roger Newson
Lecturer in Medical Statistics
Department of Public Health Sciences
Division of Asthma, Allergy and Lung Biology
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://phs.kcl.ac.uk/rogernewson/

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

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