Evaluation of covariate effects using forest plots and introduction to the coveffectsplot R package.

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.

SUBMITTER: Marier JF 

PROVIDER: S-EPMC9574733 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature