Reeve John D, Strom Brian L
Department of Zoology, Southern Illinois University, Carbondale, Illinois 62901, USA.
J Chem Ecol. 2004 Aug;30(8):1575-90. doi: 10.1023/b:joec.0000042069.17533.3c.
Traps baited with semiochemicals are often used to investigate the chemical ecology of scolytids and associated insects. One statistical problem frequently encountered in these studies are treatments that catch no insects and, thus, have zero mean and variance, such as blank or control traps. A second problem is the use of multiple comparison procedures that do not control the experimentwise error rate. We conducted a literature survey to determine the frequency of these two statistical problems in Journal of Chemical Ecology for 1990-2002. Simulations were then used to examine the effects of these problems on the validity of multiple comparison procedures. Our results indicate that both statistical problems are common in the literature, and when combined can significantly inflate both the experimentwise and per comparison error rate for multiple comparison procedures. A possible solution to this problem is presented that involves confidence intervals for the treatment means. Options to increase the statistical power of trapping studies are also discussed.
用信息素诱饵诱捕的陷阱常被用于研究小蠹虫及相关昆虫的化学生态学。这些研究中经常遇到的一个统计问题是,有些处理方法没有捕获到昆虫,因此其均值和方差为零,比如空白或对照陷阱。第二个问题是使用了无法控制实验误差率的多重比较程序。我们进行了一项文献调查,以确定1990年至2002年《化学生态学杂志》中这两个统计问题出现的频率。然后通过模拟来检验这些问题对多重比较程序有效性的影响。我们的结果表明,这两个统计问题在文献中都很常见,并且当它们同时出现时,会显著提高多重比较程序的实验误差率和每次比较的误差率。本文提出了一个可能解决此问题的方法,该方法涉及处理均值的置信区间。我们还讨论了提高诱捕研究统计功效的方法。