School of Mathematics, Statistics and Applied Mathematics, National University of Ireland, Galway, Ireland.
HRB Clinical Research Facility, National University of Ireland, Galway, Ireland.
PLoS One. 2019 Nov 15;14(11):e0225253. doi: 10.1371/journal.pone.0225253. eCollection 2019.
Translational Statistics proposes to promote the use of Statistics within research and improve the communication of statistical findings in an accurate and accessible manner to diverse audiences. When statistical models become more complex, it becomes harder to evaluate the role of explanatory variables on the response. For example, the interpretation and communication of the effect of predictors in regression models where interactions or smoothing splines are included can be challenging. Informative graphical representations of statistical models play a critical translational role; static nomograms are one such useful tool to visualise statistical models. In this paper, we propose the use of dynamic nomogram as a translational tool which can accommodate models of increased complexity. In theory, all models appearing in the literature could be accompanied by the corresponding dynamic nomogram to translate models in an informative manner. The R package presented will facilitate this communication for a variety of linear and non-linear models.
翻译统计学旨在促进统计学在研究中的应用，并以准确和易于理解的方式向不同受众传达统计发现。当统计模型变得更加复杂时，评估解释变量对响应的作用就变得更加困难。例如，在包含交互作用或平滑样条的回归模型中，预测因子的效应的解释和交流可能具有挑战性。统计模型的信息图形表示在转化中起着至关重要的作用；动态列线图是一种有用的工具，可以可视化统计模型。在本文中，我们提出使用动态列线图作为一种转化工具，可以适应更复杂的模型。从理论上讲，文献中出现的所有模型都可以伴随相应的动态列线图，以直观的方式转化模型。所提出的 R 包将为各种线性和非线性模型的这种交流提供便利。
