...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>statistics in medicine >The effect of matching on the power of randomized community intervention studies
【24h】

The effect of matching on the power of randomized community intervention studies

机译：匹配对随机社区干预研究功效的影响

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

AbstractCurrently, there is considerable interest in studies that use the community as the experimental unit. Health promotion programmes are one example. Because such activities are expensive, the number of experimental units (communities) is usually very small. Investigators often match communities on demographic variables in order to improve the power of their studies. Matching is known to improve power in certain circumstances. However, we show here that if the number of communities is small, the matched design will probably have less power than the unmatched design. This is due primarily to the loss of degrees of freedom in the matched design, which outweighs the benefits of matching on any but the strongest correlates of changes in behaviour. In the community intervention situation, even small differences in sample size between the matched and unmatched analyses can have expensive consequences.
机译：摘要目前，以社区为实验单位的研究引起了人们的极大兴趣。健康促进方案就是一个例子。由于此类活动费用高昂，实验单位（社区）的数量通常很少。研究人员经常根据人口统计变量与社区进行匹配，以提高其研究的效力。众所周知，在某些情况下，匹配可以提高功率。但是，我们在这里表明，如果社区数量较少，则匹配设计可能比不匹配设计具有更少的功率。这主要是由于匹配设计中自由度的损失，这超过了匹配的好处，除了行为变化的最强相关性之外。在社区干预情况下，即使匹配和不匹配分析之间的样本量差异很小，也可能产生代价高昂的后果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号