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Evaluation of covariate effects using forest plots and introduction to the coveffectsplot R package
Jean-Francois Marier1, Nathan Teuscher1, Mohamad-Samer Mouksassi1,2,3
1Certara Strategic Consulting, Princeton, New Jersey, USA.
Abstract:
The current tutorial describes why forest plots are needed for an effective communication of covariates effects, how they are constructed, and how they should be presented. Simulation-based methodologies allowing the user to evaluate the marginal impact of changing one covariate at a time or by considering the joint effects of correlated covariates are introduced along with graphical tools for an optimal assessment of the covariate effects. The R package coveffectsplot and an associated R Shiny application are provided to facilitate the design and construction of forest plots for the visualization of covariate effects. All codes and materials are available on a public Github repository.
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