Suppr超能文献

Sample sizes and power computation for clinical intervention trials.

作者信息

Leidy N K, Weissfeld L A

机构信息

Department of Biostatistics, University of Michigan, Ann Arbor.

出版信息

West J Nurs Res. 1991 Feb;13(1):138-44. doi: 10.1177/019394599101300111.

Abstract

The purpose of this article was to describe basic concepts of sample size and power estimation for planning nursing intervention trials and interpreting their results. Simple mathematical calculations, using the formulas presented here, can be used to estimate the number of subjects required to conduct a study with a designated effect size and level of power. These methods are of great importance, since most funding agencies require sample size and power estimations before a grant is awarded. In general, studies with power lower than .7 or .8 need careful consideration before they are implemented. In these situations, it may be wise to consider various alternatives for obtaining study subjects or deleting treatment groups for investigations involving more than two groups. The formulas presented here can also be useful in estimating the power of published research findings. Through a quick calculation, the consumer of nursing research can critically evaluate the meaning of a negative trial and draw appropriate conclusions for future research and practice.

摘要

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