TY - JOUR
ID - st0043
A1 - Newson, R.
TI - Confidence intervals and p-values for delivery to the end user
JF - Stata Journal
PB - Stata Press
CY - College Station, TX
Y1 - 2003
VL - 3
IS - 3
SP - 245
EP - 269
KW - confidence interval
KW - p-value
KW - plot
KW - table
KW - estimation results
KW - TeX
KW - LaTeX
KW - HTML
KW - word processor
KW - presentation
KW - eclplot
KW - listtex
KW - parmest
KW - dsconcat
KW - lincomest
KW - sencode
KW - tostring
KW - ingap
KW - reshape
KW - descsave
KW - factext
UR - http://www.stata-journal.com/article.html?article=st0043
L1 - http://www.stata-journal.com/sjpdf.html?article=st0043
AB - Statisticians make their living producing confidence intervals and pvalues.
However, those in the Stata log are not ready for delivery to the end user,
who usually wants to see statistical output either as a plot or as a table.
This article describes a suite of programs used to convert Stata results to
one or other of these forms. The eclplot package creates plots of estimates
with confidence intervals, and the listtex package outputs a Stata dataset
in the form of table rows that can be inserted into a plain TeX, LaTeX,
HTML, or word processor table. To create a Stata dataset that can be output
in these ways, we can use the parmest, dsconcat, and lincomest packages to
create datasets with one observation per estimated parameter; the sencode,
tostring, ingap, and reshape packages to process these datasets into a form
ready to be output; and the descsave and factext packages to reconstruct, in
the output dataset, categorical predictor variables represented by dummy
variables in regression models.
ER -