• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

A graphical aid for determining sample size when comparing two independent proportions.

作者信息

Feigl P

出版信息

Biometrics. 1978 Mar;34(1):111-22.

PMID:630034
Abstract

Standard sample size calculations for n, the number of observations per group when comparing two independent proportions, P1 and P2, require the specification of four quantities: P1, one of the two proportions of interest; delta = P2 - P1, the smallest difference which it is important to detect; alpha, the significance level; and beta, the chance of failing to detect a difference as large as delta. In terms of these four quantities, the graphical aid is a series of charts showing isographs of sample size for selected values of n ranging from 35 to 500. The isographs, i.e. curves connecting points of equal sample size, are based on the asymptotic arc sine approximation and are plotted on the grid formed by P1 on the abscissa and delta on the ordinate. Eight separate charts are available for different choices of alpha and beta. These charts are especially useful in situations where the feasible sample size is roughly known, in which case the detectable difference, delta, can be read directly from the graph.

摘要

相似文献

1
A graphical aid for determining sample size when comparing two independent proportions.
Biometrics. 1978 Mar;34(1):111-22.
2
Quick and simple approximation of sample sizes for comparing two independent binomial distributions: different-sample-size case.比较两个独立二项分布时样本量的快速简单近似值:不同样本量情况
Biometrics. 1984 Mar;40(1):239-41.
3
Computing asymptotic power and sample size for case-control genetic association studies in the presence of phenotype and/or genotype misclassification errors.存在表型和/或基因型错误分类误差时病例对照基因关联研究的渐近检验效能及样本量计算
Stat Appl Genet Mol Biol. 2005;4:Article37. doi: 10.2202/1544-6115.1184. Epub 2006 Jan 4.
4
Sample size determination for comparing several survival curves with unequal allocations.用于比较几个不等分配的生存曲线的样本量确定。
Stat Med. 2004 Jun 15;23(11):1793-815. doi: 10.1002/sim.1771.
5
On approximate sample sizes for comparing two independent proportions with the use of Yates' correction.关于使用耶茨校正比较两个独立比例时的近似样本量。
Biometrics. 1980 Jun;36(2):347-51.
6
How I do it: sample size calculations.我是这样做的:样本量计算。
Clin Otolaryngol. 2008 Apr;33(2):145-9. doi: 10.1111/j.1749-4486.2008.01668.x.
7
Comparison of two sample proportions by the normal difference test. Distribution of chance differences between two sample proportions. Standard error of the difference between two sample proportions. Location of a sample difference on the distribution of chance differences.
Woman Physician. 1970 Feb;25(2):97-113.
8
Sample size, power calculations, and their implications for the cost of thorough studies of drug induced QT interval prolongation.样本量、效能计算及其对药物诱导的QT间期延长深入研究成本的影响。
Pacing Clin Electrophysiol. 2004 Dec;27(12):1659-69. doi: 10.1111/j.1540-8159.2004.00701.x.
9
A new approach to sample size calculation for reference interval studies.参考区间研究样本量计算的新方法。
Stat Med. 2005 Oct 30;24(20):3199-212. doi: 10.1002/sim.2177.
10
A cluster-adjusted sample size algorithm for proportions was developed using a beta-binomial model.使用β-二项式模型开发了一种用于比例的整群调整样本量算法。
J Clin Epidemiol. 2007 Mar;60(3):250-5. doi: 10.1016/j.jclinepi.2006.06.010. Epub 2006 Sep 28.

引用本文的文献

1
Sample size for monitoring of toxic chemical sites.有毒化学物质监测的样本量。
Environ Monit Assess. 1987 Sep;9(2):143-54. doi: 10.1007/BF00394347.
2
Statistics in medicine: some considerations from a clinician's point of view.医学统计学:临床医生视角的若干思考
Postgrad Med J. 1998 Oct;74(876):577-8. doi: 10.1136/pgmj.74.876.577.
3
Graphical aid for determining power of clinical trials involving two groups.用于确定两组临床试验效能的图表辅助工具。
BMJ. 1988 Sep 10;297(6649):672-6. doi: 10.1136/bmj.297.6649.672.