论文标题
要求毒理学和药理剂量响应研究的趋势：统计方法和相关R-Software的概述
Claiming trend in toxicological and pharmacological dose-response studies: an overview on statistical methods and related R-Software
论文作者
论文摘要
有非常不同的统计方法来证明药理学实验的趋势。在这里，重点是稀疏模型，只有一个要估计和解释的参数：回归模型的增加以及对比模型中控制的差异。这提供了适当效果大小的P值和置信区间。建议使用由Tukey回归方法和根据Williams进行多重对比测试组成的组合测试，可以将其推广到广义线性（混合效应）模型。因此，可以充分评估药理学/毒理学中发生的许多可变类型。可以通过cran套餐获得软件。这种方法最重要的局限性是针对样本量非常小的设计，通常在药理学/毒理学中。
There are very different statistical methods for demonstrating a trend in pharmacological experiments. Here, the focus is on sparse models with only one parameter to be estimated and interpreted: the increase in the regression model and the difference to control in the contrast model. This provides both p-values and confidence intervals for an appropriate effect size. A combined test consisting of the Tukey regression approach and the multiple contrast test according to Williams is recommended, which can be generalized to the generalized linear (mixed effect) model. Thus numerous variable types occurring in pharmacology/toxicology can be adequately evaluated. Software is available through CRAN packages. The most significant limitation of this approach is for designs with very small sample sizes, often in pharmacology/toxicology.
