用于剂量-反应研究和建模的自适应对比试验
Adaptive Contrast Test for Dose-Response Studies and Modeling
摘要：
我们提出了一个强大的自适应对比度测试与顺序约束对比度系数由观察到的反应。自适应对比度测试可以使用容易计算的对比度系数和现有的统计软件来执行。给出了自适应对比检验功效分析和计算的SAS程序代码。在自适应对比检验显示统计学显著的剂量-反应后，我们考虑从多个剂量-反应模型中选择最佳的剂量-反应模型。基于最佳模型，我们确定推荐剂量。我们展示了样本数据的自适应对比度测试。此外，我们还展示了实际研究中系数、检验统计量和推荐剂量的计算。我们进行了模拟研究与11个场景，以评估性能的自适应对比度测试。我们证实了样本数据和实际研究的统计学显著性剂量反应。在仿真研究中，我们证实了自适应对比度测试在大多数情况下具有更高的功率相比，传统的方法。此外，我们证实，当治疗组间无差异时，自适应对比试验的1型错误率保持在显著性水平。我们的结论是，自适应对比度测试可以毫无问题地应用于剂量反应研究。
英文摘要：
We propose a powerful adaptive contrast test with ordinal constraint contrast coefficients determined by observed responses. The adaptive contrast test can perform using easily calculated contrast coefficients and existing statistical software. We provide the sample SAS program codes of analysis and calculation of power for the adaptive contrast test. After the adaptive contrast test shows the statistically significant dose-response, we consider to select the best dose-response model from multiple dose-response models. Based on the best model, we identify a recommended dose. We demonstrate the adaptive contrast test for sample data. In addition, we show the calculation of coefficient, test statistic, and recommended dose for the actual study. We perform the simulation study with eleven scenarios to evaluate the performance of the adaptive contrast test. We confirmed the statistically significant dose-response for the sample data and the actual study. In the simulation study, we confirmed that the adaptive contrast test has higher power in most scenarios compared to the conventional method. In addition, we confirmed that the type 1 error rate of the adaptive contrast test was maintained at a significance level when there was no difference between the treatment groups. We conclude that the adaptive contrast test can be applied unproblematically to the dose-response study.
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