These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


Pubmed for Handhelds

PUBMED FOR HANDHELDS

Search MEDLINE/PubMed

  • Title: Improving interval estimation of binomial proportions.
    Author: Zhou XH, Li CM, Yang Z.
    Journal: Philos Trans A Math Phys Eng Sci; 2008 Jul 13; 366(1874):2405-18. PubMed ID: 18407898.
    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.
    [Abstract] [Full Text] [Related] [New Search]