演化,生态学和系统学方法的模拟测试:陷,进步和原则
Katie E Lotterhos1, Matthew C Fitzpatrick2, Heath Blackmon3
1Department of Marine and Environmental Sciences, Northeastern University, Nahant, Massachusetts, USA.
Annual review of ecology, evolution, and systematics
|December 18, 2023
概括
生态,进化和系统学 (EES) 的统计方法评估缺乏标准化. 本综述详细介绍了严格的方法测试的陷,模拟优势和最佳实践,以防止错误应用.
科学领域:
- 生态,进化和系统学 (EES)
背景情况:
- 在EES中经常开发复杂的统计方法.
- 目前的方法评估缺乏标准化,导致不一致的严格性,不清楚的局限性和潜在的错误应用.
研究的目的:
- 在EES方法评估中发现常见的陷.
- 突出使用模拟数据用于方法测试的好处.
- 建议在EES中评估统计方法的最佳实践.
主要方法:
- 在EES中评估统计方法的常见陷的审查.
- 讨论使用模拟数据用于测试方法的优点.
- 检查方法评估和验证之间的区别.
主要成果:
- 在EES中的方法评估往往缺乏严谨性和清晰性.
- 模拟数据,当适当设计时,可以显著改善方法评估.
- 清晰的评估指标和原则性测试完善了方法的可靠应用领域.
结论:
- 标准化,以原则为基础的方法评估对于推进EES至关重要.
- 采用最佳实践,包括基于模拟的测试,将减少方法的错误应用.
- 资助机构,审稿人和期刊的要求可以强制执行严格的方法评估.
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