论文标题
对比例的线性趋势的修改后的Armitage测试
A modified Armitage test for more than a linear trend on proportions
论文作者
论文摘要
对于具有算术，序数和对数剂量得分的三种回归模型的多个边缘模型方法，可以使用多个边缘模型方法来修改比例线性趋势的武装测试，以相对于广泛的剂量响应关系具有强大的功能。此外，它可用于三种常见线性（混合）模型中的特定设计，以实现三种常见效应大小比值比，风险比和风险差异。相关的R软件包TukeyTrend允许简单的概括，例如分析2 by-k表数据具有可能的平稳形状或分析过度分散比例的数据。对该R软件包的小插图中可以评估进一步的真实数据示例。
The Armitage test for linear trend in proportions can be modified using the multiple marginal model approach for three regression models with arithmetic, ordinal and logarithmic dose scores simultaneously, to be powerful against a wide range of possible dose response relationships. Moreover, it can be used for particular designs in the generalized linear (mixed) model for the three common effect sizes odds ratio, risk ratio and risk difference. The related R package tukeytrend allows simple generalizations, e.g. the analysis 2-by-k table data with a possible plateau shape or analysing overdispersed proportions. The evaluation of further real data examples are available in a vignette to that R package.
