Confidence intervals for a ratio of binomial proportions based on paired data

被引：31

作者：

Bonett, Douglas G. ^{[1
]}

Price, Robert M.

机构：

[1] Iowa State Univ, Dept Stat, Ames, IA 50011 USA

[2] E Tennessee State Univ, Dept Math, Johnson City, TN 37614 USA

来源：

STATISTICS IN MEDICINE | 2006年 / 25卷 / 17期

关键词：

continuity correction; cross-over design; interval estimation; matched-pairs design; repeated measures design; sample size; score interval; Wald interval; Wilson interval;

D O I：

10.1002/sim.2440

中图分类号：

Q [生物科学];

学科分类号：

07 [理学]; 0710 [生物学]; 09 [农学];

摘要：

Four interval estimation methods for the ratio of marginal binomial proportions are compared in terms of expected interval width and exact coverage probability. Two new methods are proposed that are based on combining two Wilson score intervals. The new methods are easy to compute and perform as well or better than the method recently proposed by Nam and Blackwelder. Two sample size formulas are proposed to approximate the sample size required to achieve an interval estimate with desired confidence level and width. Copyright (c) 2005 John Wiley & Sons, Ltd.

引用

页码：3039 / 3047

页数：9

共 21 条

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[2]

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[3]

SAMPLE-SIZE FOR TESTING DIFFERENCES IN PROPORTIONS FOR THE PAIRED-SAMPLE DESIGN [J].