• 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

平衡抽样点的数量与规模:一种关于整群抽样最优设计的经济学方法

Balancing the number and size of sites: an economic approach to the optimal design of cluster samples.

作者信息

Connelly Luke B

机构信息

Centre of National Research on Disability and Rehabilitation Medicine (CONROD), Herston, Australia.

出版信息

Control Clin Trials. 2003 Oct;24(5):544-59. doi: 10.1016/s0197-2456(03)00093-x.

DOI:10.1016/s0197-2456(03)00093-x
PMID:14500052
Abstract

The design of randomized controlled trials entails decisions that have economic as well as statistical implications. In particular, the choice of an individual or cluster randomization design may affect the cost of achieving the desired level of power, other things being equal. Furthermore, if cluster randomization is chosen, the researcher must decide how to balance the number of clusters, or "sites," and the size of each site. This article investigates these interrelated statistical and economic issues. Its principal purpose is to elucidate the statistical and economic trade-offs to assist researchers to employ randomized controlled trials that have desired economic, as well as statistical, properties.

摘要

随机对照试验的设计涉及到具有经济和统计意义的决策。特别是,在其他条件相同的情况下,个体随机化设计或整群随机化设计的选择可能会影响达到所需检验效能水平的成本。此外,如果选择整群随机化,研究者必须决定如何平衡整群(或“研究地点”)的数量以及每个地点的规模。本文将研究这些相互关联的统计和经济问题。其主要目的是阐明统计和经济方面的权衡,以帮助研究者采用具有理想经济和统计特性的随机对照试验。

相似文献

1
Balancing the number and size of sites: an economic approach to the optimal design of cluster samples.平衡抽样点的数量与规模:一种关于整群抽样最优设计的经济学方法
Control Clin Trials. 2003 Oct;24(5):544-59. doi: 10.1016/s0197-2456(03)00093-x.
2
Relative efficiency and sample size for cluster randomized trials with variable cluster sizes.具有变群大小的群组随机试验的相对效率和样本含量。
Clin Trials. 2011 Feb;8(1):27-36. doi: 10.1177/1740774510391492. Epub 2010 Dec 16.
3
Sample size calculator for cluster randomized trials.整群随机试验的样本量计算器。
Comput Biol Med. 2004 Mar;34(2):113-25. doi: 10.1016/S0010-4825(03)00039-8.
4
Pitfalls of and controversies in cluster randomization trials.整群随机试验的陷阱与争议
Am J Public Health. 2004 Mar;94(3):416-22. doi: 10.2105/ajph.94.3.416.
5
Cluster randomised trials with different numbers of measurements at baseline and endline: Sample size and optimal allocation.集群随机对照试验中,基线和终线的测量次数不同:样本量和最佳分配。
Clin Trials. 2020 Feb;17(1):69-76. doi: 10.1177/1740774519873888. Epub 2019 Oct 3.
6
Comparing completely and stratified randomized designs in cluster randomized trials when the stratifying factor is cluster size: a simulation study.当分层因素为聚类大小时,比较整群随机试验中的完全随机设计和分层随机设计:一项模拟研究。
Stat Med. 2004 Mar 30;23(6):897-905. doi: 10.1002/sim.1665.
7
Issues in the meta-analysis of cluster randomized trials.整群随机试验的Meta分析中的问题。
Stat Med. 2002 Oct 15;21(19):2971-80. doi: 10.1002/sim.1301.
8
Planning a cluster randomized controlled trial: methodological issues.设计整群随机对照试验:方法学问题
Nurs Res. 2009 Mar-Apr;58(2):128-34. doi: 10.1097/NNR.0b013e3181900cb5.
9
An evaluation of constrained randomization for the design and analysis of group-randomized trials with binary outcomes.对具有二元结局的群组随机试验的设计与分析中受限随机化的评估。
Stat Med. 2017 Oct 30;36(24):3791-3806. doi: 10.1002/sim.7410. Epub 2017 Aug 7.
10
The cluster randomized crossover trial: The effects of attrition in the AB/BA design and how to account for it in sample size calculations.群组随机交叉试验:AB/BA 设计中损耗的影响及其在样本量计算中的处理方法。
Clin Trials. 2020 Aug;17(4):420-429. doi: 10.1177/1740774520913042. Epub 2020 Mar 19.

引用本文的文献

1
Complementary, integrative, and standard rehabilitative therapies in a military population with chronic predominantly musculoskeletal pain: a pragmatic clinical trial with SMART design.针对患有慢性主要肌肉骨骼疼痛的军人的补充、综合和标准康复疗法:一项采用SMART设计的实用临床试验。
Pain. 2025 Jun 1;166(6):1343-1353. doi: 10.1097/j.pain.0000000000003462. Epub 2024 Nov 8.
2
An Economic Model for Estimating Trial Costs with an Application to Placebo Surgery Trials.一种用于估计试验成本的经济模型及其在安慰剂手术试验中的应用。
Appl Health Econ Health Policy. 2023 Mar;21(2):263-273. doi: 10.1007/s40258-022-00775-4. Epub 2022 Dec 28.
3
Cluster randomised trials with different numbers of measurements at baseline and endline: Sample size and optimal allocation.
集群随机对照试验中,基线和终线的测量次数不同:样本量和最佳分配。
Clin Trials. 2020 Feb;17(1):69-76. doi: 10.1177/1740774519873888. Epub 2019 Oct 3.
4
Optimal designs in three-level cluster randomized trials with a binary outcome.三水平整群随机临床试验中二分类结局的最优设计。
Stat Med. 2019 Sep 10;38(20):3733-3746. doi: 10.1002/sim.8153. Epub 2019 Jun 4.
5
Optimal design of longitudinal data analysis using generalized estimating equation models.使用广义估计方程模型的纵向数据分析的优化设计。
Biom J. 2017 Mar;59(2):315-330. doi: 10.1002/bimj.201600107. Epub 2016 Nov 23.
6
Methods for sample size determination in cluster randomized trials.整群随机试验中样本量确定的方法。
Int J Epidemiol. 2015 Jun;44(3):1051-67. doi: 10.1093/ije/dyv113. Epub 2015 Jul 13.
7
Sample size considerations when groups are the appropriate unit of analysis.当分组是合适的分析单位时的样本量考量。
Appl Nurs Res. 2007 Aug;20(3):152-7. doi: 10.1016/j.apnr.2006.02.004.
8
CONSORT statement: extension to cluster randomised trials.CONSORT声明:群组随机试验扩展版
BMJ. 2004 Mar 20;328(7441):702-8. doi: 10.1136/bmj.328.7441.702.