Confidence intervals and p-values for delivery to the end user
AbstractStatisticians 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 conÞdence 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. Copyright 2003 by StataCorp LP.
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Bibliographic InfoArticle provided by StataCorp LP in its journal Stata Journal.
Volume (Year): 3 (2003)
Issue (Month): 3 (September)
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- Roger Newson, 2008. "parmest and extensions," United Kingdom Stata Users' Group Meetings 2008 07, Stata Users Group.
- Ben Jann, 2013.
"Plotting regression coefficients and other estimates in Stata,"
University of Bern Social Sciences Working Papers
1, University of Bern, Department of Social Sciences, revised 31 Jan 2014.
- Ben Jann, 2013. "COEFPLOT: Stata module to plot regression coefficients and other results," Statistical Software Components S457686, Boston College Department of Economics, revised 01 Feb 2014.
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