• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Conservation Biology >Judicious use of multiple hypothesis tests
【24h】

Judicious use of multiple hypothesis tests

机译：明智地使用多个假设检验

获取原文
获取原文并翻译 | 示例
       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

When analyzing a table of statistical results, one must first decide whether adjustment of significance levels is appropriate. If the main goal is hypothesis generation or initial screening for potential conservation problems, then it may be appropriate to use the standard comparisonwise significance level to avoid Type II errors (not detecting real differences or trends). If the main goal is rigorous testing of a hypothesis, however, then an adjustment for multiple tests is needed. To control the familywise Type I error rate (the probability of rejecting at least one true null hypothesis), sequential modifications of the standard Bonferroni method, such as Holm's method, will provide more statistical power than the standard Bonferroni method. Additional power may be achieved through procedures that control the false discovery rate (FDR) (the expected proportion of false positives among tests found to be significant). Holm's sequential Bonferroni method and two FDR-controlling procedures were applied to the results of multiple-regression analyses of the relationship between habitat variables and the abundance of 25 species of forest birds in Japan, and the FDR-controlling procedures provided considerably greater statistical power.
机译：在分析统计结果表时，必须首先决定对显着性水平进行调整是否合适。如果主要目标是假设的产生或对潜在保守性问题的初步筛选，则可能合适的是使用标准的比较显着性水平以避免II型错误（不检测实际差异或趋势）。但是，如果主要目标是对假设进行严格的检验，则需要对多个检验进行调整。为了控制家庭式I型错误率（拒绝至少一个真实的零假设的可能性），对标准Bonferroni方法的顺序修改（例如Holm方法）将提供比标准Bonferroni方法更多的统计能力。可以通过控制错误发现率（FDR）（在测试中发现的假阳性的预期比例很重要）的程序来获得额外的功能。对日本25种森林鸟类的栖息地变量与丰度之间的关系进行多元回归分析的结果，采用了Holm的顺序Bonferroni方法和两种FDR控制程序，FDR控制程序提供了更大的统计能力。

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