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Research article summary (published 11 Jul 2008):

Improving interval estimation of binomial proportions.

Full Abstract

In this paper, we propose one new confidence interval for the binomial proportion; our interval is based on the Edgeworth expansion of a logit transformation of the sample proportion. We provide theoretical justification for the proposed interval and also compare the finite-sample performance of the proposed interval with the three best existing intervals-the Wilson interval, the Agresti-Coull interval and the Jeffreys interval-in terms of their coverage probabilities and expected lengths. We illustrate the proposed method in two real clinical studies.

 

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Author information

Author/s: Zhou, X H (XH); Li, C M (CM); Yang, Z (Z);

Affiliation: VA Puget Sound Health Care System, Seattle, WA 98108, USA. azhou(-atsign-)u.washington.edu

Journal and publication information

Publication Type: Journal Article

Journal: Philosophical transactions. Series A, Mathematical, physical, and engineering sciences (Philos Transact A Math Phys Eng Sci), published in England. (Language: eng)

Reference: 2008-Jul; vol 366 (issue 1874) : pp 2405-18

Dates: Created 2008/05/22; Completed 2008/08/13;

PMID: 18407898, status: MEDLINE (last retrieval date: 11/6/2008)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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