Literature DB >> 18781560

Confidence intervals for a ratio of two independent binomial proportions.

Robert M Price1, Douglas G Bonett.   

Abstract

Several large-sample confidence intervals for the ratio of independent binomial proportions are compared in terms of exact coverage probability and width. A non-iterative approximate Bayesian interval is derived and its frequency properties are superior to all of the non-iterative confidence intervals considered. The approximate Bayesian interval, which is very easy to compute, has performance characteristics that are very similar to the computationally intensive score method. Two sample size determination formulas are presented, one for desired absolute precision and the other for desired relative precision.

Mesh:

Year:  2008        PMID: 18781560     DOI: 10.1002/sim.3376

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  5 in total

Review 1.  Methods and recommendations for evaluating and reporting a new diagnostic test.

Authors:  A S Hess; M Shardell; J K Johnson; K A Thom; P Strassle; G Netzer; A D Harris
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2012-03-29       Impact factor: 3.267

2.  Evaluation of vaccine seroresponse rates and adverse event rates through Bayesian and frequentist methods.

Authors:  Jin Liu; Feng Chen; Feng-Cai Zhu; Jian-Ling Bai; Jing-Xin Li; Hao Yu; Pei Liu; Ping Zeng
Journal:  Hum Vaccin Immunother       Date:  2015       Impact factor: 3.452

3.  A Smooth Bootstrap Procedure towards Deriving Confidence Intervals for the Relative Risk.

Authors:  Dongliang Wang; Alan D Hutson
Journal:  Commun Stat Theory Methods       Date:  2014-04-14       Impact factor: 0.893

4.  Estimating enrichment of repetitive elements from high-throughput sequence data.

Authors:  Daniel S Day; Lovelace J Luquette; Peter J Park; Peter V Kharchenko
Journal:  Genome Biol       Date:  2010-06-28       Impact factor: 13.583

5.  Osteoporosis among Fallers without Concomitant Fracture Identified in an Emergency Department: Frequencies and Risk Factors.

Authors:  Bente Glintborg; Ulrik Hesse; Thomas Houe; Jensen Claus Munk; Jan Pødenphant; Bo Zerahn
Journal:  Adv Orthop       Date:  2010-11-08
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.