Mardia K V, Bogle S, Edwards R
J Appl Physiol Respir Environ Exerc Physiol. 1983 Jan;54(1):309-13. doi: 10.1152/jappl.1983.54.1.309.
Daubenspeck and Ogden in a recent paper recommended the use of directional statistics in the analysis of response slopes, and their advice has been followed by other workers. Their method is not valid, since it does not follow directly from their model. An efficient estimator of the slope (i.e., an estimator with minimum variance) is well known and is given here with a confidence interval for the true slope. They were also concerned with the two-sample problem to compare the slopes from two different samples. The method for this is more complicated but is summarized here. The likelihood ratio test and point and interval estimates are given. We discuss Daubenspeck and Ogden's example and the reason why, despite its invalidity, their method gave good results using their own data. Their data are also used to illustrate the methods described in this paper, and examples are given to highlight the practical differences between the two methods. Step-by-step procedures are included in the appendixes to enable readers to use these methods.
道本斯佩克和奥格登在最近的一篇论文中建议在响应斜率分析中使用方向统计学,其他研究人员也采纳了他们的建议。他们的方法是无效的,因为它并非直接从他们的模型推导而来。斜率的一个有效估计量(即具有最小方差的估计量)是众所周知的,在此给出它以及真实斜率的置信区间。他们还关注比较两个不同样本斜率的双样本问题。解决此问题的方法更为复杂,但在此进行了总结。给出了似然比检验以及点估计和区间估计。我们讨论了道本斯佩克和奥格登的例子,以及尽管他们的方法无效,但为何使用他们自己的数据却得出了良好结果的原因。他们的数据也用于说明本文所述的方法,并给出示例以突出两种方法在实际应用中的差异。附录中包含了逐步操作步骤,以便读者使用这些方法。