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RDCI: Stata module to calculate risk difference confidence intervals

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Joseph Coveney () (Cobridge Co., Ltd.)
Abstract

rdci calculates confidence intervals for differences between two independent proportions by the Miettinen-Nurminen, Agresti-Caffo, Newcombe hybrid score, and Wallenstein methods. These risk difference confidence intervals are considered to have better statistical properties than the conventional Wald confidence interval.

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File URL: http://fmwww.bc.edu/repec/bocode/r/rdci.ado
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File Function: program code
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File URL: http://fmwww.bc.edu/repec/bocode/r/rdci.hlp
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File Function: help file
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File URL: http://fmwww.bc.edu/repec/bocode/r/rdcii.ado
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File Function: program code
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File URL: http://fmwww.bc.edu/repec/bocode/r/rdcii.hlp
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File URL: http://fmwww.bc.edu/repec/bocode/r/rdci_illustrations.do
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Publisher Info
Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S456822.

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Programming language: Stata
Requires: Stata version 9.2
Date of creation: 14 Mar 2007
Date of revision: 13 Apr 2007
Handle: RePEc:boc:bocode:s456822

Note: This module may be installed from within Stata by typing "ssc inst rdci". Windows users should not attempt to download these files with a web browser.
Contact details of provider:
Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Phone: 617-552-3670
Fax: +1-617-552-2308
Email:
Web page: http://fmwww.bc.edu/EC/
More information through EDIRC

Order Information:
Web: http://repec.org/docs/ssc.php

For technical questions regarding this item, or to correct its listing, contact: (Christopher F Baum).

Related research
Keywords: risk difference binomial data confidence interval Miettinen-Nurminen Agresti-Caffo Newcombe Wallenstein therapeutic equivalence bioequivalence

Statistics
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This page was last updated on 2008-5-9.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.