Cargando…
Evaluation of covariate effects using forest plots and introduction to the coveffectsplot R package
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 cons...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9574733/ https://www.ncbi.nlm.nih.gov/pubmed/35670230 http://dx.doi.org/10.1002/psp4.12829 |
_version_ | 1784811166623596544 |
---|---|
author | Marier, Jean‐Francois Teuscher, Nathan Mouksassi, Mohamad‐Samer |
author_facet | Marier, Jean‐Francois Teuscher, Nathan Mouksassi, Mohamad‐Samer |
author_sort | Marier, Jean‐Francois |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9574733 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95747332022-10-17 Evaluation of covariate effects using forest plots and introduction to the coveffectsplot R package Marier, Jean‐Francois Teuscher, Nathan Mouksassi, Mohamad‐Samer CPT Pharmacometrics Syst Pharmacol Tutorial 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. John Wiley and Sons Inc. 2022-06-27 2022-10 /pmc/articles/PMC9574733/ /pubmed/35670230 http://dx.doi.org/10.1002/psp4.12829 Text en © 2022 The Authors. CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Tutorial Marier, Jean‐Francois Teuscher, Nathan Mouksassi, Mohamad‐Samer Evaluation of covariate effects using forest plots and introduction to the coveffectsplot R package |
title | Evaluation of covariate effects using forest plots and introduction to the coveffectsplot R package |
title_full | Evaluation of covariate effects using forest plots and introduction to the coveffectsplot R package |
title_fullStr | Evaluation of covariate effects using forest plots and introduction to the coveffectsplot R package |
title_full_unstemmed | Evaluation of covariate effects using forest plots and introduction to the coveffectsplot R package |
title_short | Evaluation of covariate effects using forest plots and introduction to the coveffectsplot R package |
title_sort | evaluation of covariate effects using forest plots and introduction to the coveffectsplot r package |
topic | Tutorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9574733/ https://www.ncbi.nlm.nih.gov/pubmed/35670230 http://dx.doi.org/10.1002/psp4.12829 |
work_keys_str_mv | AT marierjeanfrancois evaluationofcovariateeffectsusingforestplotsandintroductiontothecoveffectsplotrpackage AT teuschernathan evaluationofcovariateeffectsusingforestplotsandintroductiontothecoveffectsplotrpackage AT mouksassimohamadsamer evaluationofcovariateeffectsusingforestplotsandintroductiontothecoveffectsplotrpackage |