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Confidence intervals and p-values for delivery to the end user

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Author Info

  • Roger Newson

    ()
    (King's College London)

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 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 Info

Article provided by StataCorp LP in its journal Stata Journal.

Volume (Year): 3 (2003)
Issue (Month): 3 (September)
Pages: 245-269

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Handle: RePEc:tsj:stataj:v:3:y:2003:i:3:p:245-269

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Related research

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;

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Cited by:
  1. Roger Newson, 2008. "parmest and extensions," United Kingdom Stata Users' Group Meetings 2008 07, Stata Users Group.
  2. Ben Jann, 2005. "Making regression tables from stored estimates," Stata Journal, StataCorp LP, vol. 5(3), pages 288-308, September.
  3. Ben Jann, 2004. "Tabulation of multiple responses," United Kingdom Stata Users' Group Meetings 2004 12, Stata Users Group.
  4. Rosa Gini & Jacopo Pasquini, 2006. "Automatic generation of documents," Stata Journal, StataCorp LP, vol. 6(1), pages 22-39, March.
  5. 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 06 Jun 2014.
  6. Dang, Hai-Anh & Lanjouw, Peter & Luoto, Jill & McKenzie, David, 2011. "Using repeated cross-sections to explore movements in and out of poverty," Policy Research Working Paper Series 5550, The World Bank.

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