st: New versions of smileplot, factext and lincomest on SSC

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

Thanks to Kit Baum, new versions of the smileplot, factext and lincomest
packages are now available for download from SSC. In Stata, use the ssc
command to do this, or use adoupdate if you already have the old
versions of these packages.

The smileplot, factext and lincomest packages are described as below on
my website. The new versions have been upgraded to Stata 10. Most of the
improvements will be in the on-line help, which is now in the more
informative Stata 10 style and stored in .sthlp files. However, the
smileplot package now has an addplot() option, superseding the old Stata
8 plot() option, although the old plot() option still works, so that old
do-files will still run.. And lincomest now saves the result e(cmdline),
storing the full command line, in accordance with Stata 10 practice.

Users of Stata 7, 8 and 9 can still download the old Stata 8 and 7
smileplot packages, the old Stata 7 factext package, and the old Stata 7
and 8 lincomest packages from my website by typing

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

in their Stata versions and selecting the Stata version, and the
package, that they want to download.

Best wishes

Roger


Roger B Newson
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.

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package smileplot from http://www.imperial.ac.uk/nhli/r.newson/stata10
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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: 04July2008
      Stata-Version: 10

INSTALLATION FILES                                  (click here to
install)
      multproc.ado
      multproc.sthlp
      smileplot.ado
      smileplot.sthlp
      smileplot7.ado
      smileplot7.sthlp
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package factext from http://www.imperial.ac.uk/nhli/r.newson/stata10
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TITLE
      factext: Extract factor values from a label variable created by
parmest

DESCRIPTION/AUTHOR(S)
      factext is used to extract factors (categorical variables) from a
      label variable in an output data set created by the parmest
package.
      The parmest package creates a data set with 1 obs per estimated
parameter
      and data on the parameter estimates, confidence limits, P-values,
and
      (optionally) also a variable named label, containing the variable
label for
      the X-variable corresponding to the parameter. If the X-variable
is a dummy
      variable created by xi, tabulate or John Hendrickx's desmat
package, then the
      value of label will be of the form "varname==value", where varname
is a
      variable name and value is a numeric or string  value. factext
uses this
      information to create new factors (categorical variables) with the
specified
      varnames and values. These new variables can then be used to
produce tables
      and/or plots. factext can be used together with the descsave
package, also
      downloadable from SSC or from this website.
      
      Author: Roger Newson
      Distribution-Date: 04july2008
      Stata-Version: 10

INSTALLATION FILES                                  (click here to
install)
      factext.ado
      factext.sthlp
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package lincomest from http://www.imperial.ac.uk/nhli/r.newson/stata10
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TITLE
      lincomest: Extension to lincom saving the combination as
estimation results

DESCRIPTION/AUTHOR(S)
      lincomest is an extended version of lincom, which calculates
confidence
      intervals and P-values for linear combinations of model
coefficients.
      lincomest saves the estimate and variance of the linear
combination as
      estimation results, with the option of saving any existing
estimation results
      to be recalled by estimates restore or _estimates unhold. The
advantage of
      doing this is that the linear combination can be input to parmest
or parmby
      to create an output dataset (or resultsset) with one observation,
containing
      a confidence interval and P-value for the linear combination.
This data set
      can be concatenated with other parmest or parmby resultssets using
dsconcat,
      and the confidence intervals and/or P-values can then be plotted
and/or
      tabulated.
      
      Author: Roger Newson
      Distribution-Date: 03july2008
      Stata-Version: 10

INSTALLATION FILES                                  (click here to
install)
      lincomest.ado
      lincomest.sthlp
      lincomest_p.ado
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