Keywords: Nomograms, Shiny, Dynamic Nomograms, Translational Statistics
Webpages:
https://cran.r-project.org/web/packages/DynNom/index.html Nomograms are useful computational tools for model visualisation as they allow the calculation of a point estimate of a response variable for a set of values of the corresponding explanatory variables. The nomogram function in Frank Harrell’s
rms package is a popular way of creating static nomograms for regression models. Our
DynNom package, built using
shiny, allows the creation of dynamic nomograms, using a simple wrapper function from a variety of model objects including lm, glm and coxph and models generated using the Ols, Glm, lrm and cph functions in the
rms package. In this presentation examples will be given where dynamic nomograms will be generated for a variety of models and the potential of this approach to be a useful translational tool explored.
