Confidence intervals and p–values for delivery to the end user
Abstract. 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.
King's College London, UK
View all articles by this author:
View all articles with these keywords:
confidence interval, p-value, plot, table, estimation results, TeX, LaTeX, HTML, word processor, presentation, eclplot, listtex, parmest, dsconcat, lincomest, sencode, tostring, ingap, reshape, descsave, factext
Download citation: BibTeX RIS
Download citation and abstract: BibTeX RIS
if you have questions about the Stata Journal.