![]() ![]() To use the nomogram draw a straight line from the value of the chi-square test statistic through the required degrees to read off the corresponding p-value. ![]() A nomogram to calculate the p-value for a chi-square test statistic. In theory, most models presented in the literature could have an accompanying web address to direct the reader to the corresponding dynamic nomogram allowing them to ‘interact’ with the model to gain insight into the effect of each explanatory variable on the primary response of interest.įig 1. We introduce the R package DynNom for generating dynamic nomograms (as Shiny objects) for a variety of linear and non-linear models. ![]() In this paper, we propose the use of dynamic nomograms as a visualisation and translational tool to further aid the communication of the results of a statistical analysis to a non-statistical audience. Nomograms have been used to visualise statistical models, playing the role of a graphical ‘predict’ function, facilitating the calculation of a point estimate of the response variable for a particular set of values of the explanatory variables. For example, the graphical representation of data is necessary to provide a way of assessing at least parts of any assumed statistical model before engaging in formal analysis and to aid in the presentation and understanding of results and conclusions. The use of appropriate graphics is central to all areas of statistical research. The concept of ‘Translational Statistics’ was proposed to facilitate the integration of biostatistics within clinical research in order to enhance communication of statistical research findings in an accurate and accessible manner to diverse audiences (e.g. Translational Medicine, within biomedical and public health research domains, is defined as the convergence of basic and clinical research with the aim to transfer knowledge on the benefits and risks of therapies. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Ĭompeting interests: The authors have declared that no competing interests exist. Jalali received funding through the Health Research Board ( ) via HRB Clinical Research Facility, Galway ( ). Also, the dynamic nomogram application for Titanic example is freely available on. The titanic dataset is in the ‘PASWR’ package ( ), the crabs dataset is in the ‘glm2’ package ( ), the ragweed data is in the ‘SemiPar’ package ( ) and the lung dataset is in the ‘survival’ package ( ). This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.ĭata Availability: Dataset are freely available in the Comprehensive R Archive Network (CRAN) Repository. ![]() Received: MaAccepted: OctoPublished: November 15, 2019Ĭopyright: © 2019 Jalali et al. The R package presented will facilitate this communication for a variety of linear and non-linear models.Ĭitation: Jalali A, Alvarez-Iglesias A, Roshan D, Newell J (2019) Visualising statistical models using dynamic nomograms. In theory, all models appearing in the literature could be accompanied by the corresponding dynamic nomogram to translate models in an informative manner. In this paper, we propose the use of dynamic nomogram as a translational tool which can accommodate models of increased complexity. Informative graphical representations of statistical models play a critical translational role static nomograms are one such useful tool to visualise statistical models. For example, the interpretation and communication of the effect of predictors in regression models where interactions or smoothing splines are included can be challenging. When statistical models become more complex, it becomes harder to evaluate the role of explanatory variables on the response. 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. ![]()
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