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Dose-Response Analysis Using R

Dose-response analysis can be carried out using multi-purpose commercial statistical software, but except for a few special cases the analysis easily becomes cumbersome as relevant, non-standard output requires manual programming. The extension package drc for the statistical environment R provides...

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Detalles Bibliográficos
Autores principales: Ritz, Christian, Baty, Florent, Streibig, Jens C., Gerhard, Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4696819/
https://www.ncbi.nlm.nih.gov/pubmed/26717316
http://dx.doi.org/10.1371/journal.pone.0146021
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author Ritz, Christian
Baty, Florent
Streibig, Jens C.
Gerhard, Daniel
author_facet Ritz, Christian
Baty, Florent
Streibig, Jens C.
Gerhard, Daniel
author_sort Ritz, Christian
collection PubMed
description Dose-response analysis can be carried out using multi-purpose commercial statistical software, but except for a few special cases the analysis easily becomes cumbersome as relevant, non-standard output requires manual programming. The extension package drc for the statistical environment R provides a flexible and versatile infrastructure for dose-response analyses in general. The present version of the package, reflecting extensions and modifications over the last decade, provides a user-friendly interface to specify the model assumptions about the dose-response relationship and comes with a number of extractors for summarizing fitted models and carrying out inference on derived parameters. The aim of the present paper is to provide an overview of state-of-the-art dose-response analysis, both in terms of general concepts that have evolved and matured over the years and by means of concrete examples.
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spelling pubmed-46968192016-01-13 Dose-Response Analysis Using R Ritz, Christian Baty, Florent Streibig, Jens C. Gerhard, Daniel PLoS One Research Article Dose-response analysis can be carried out using multi-purpose commercial statistical software, but except for a few special cases the analysis easily becomes cumbersome as relevant, non-standard output requires manual programming. The extension package drc for the statistical environment R provides a flexible and versatile infrastructure for dose-response analyses in general. The present version of the package, reflecting extensions and modifications over the last decade, provides a user-friendly interface to specify the model assumptions about the dose-response relationship and comes with a number of extractors for summarizing fitted models and carrying out inference on derived parameters. The aim of the present paper is to provide an overview of state-of-the-art dose-response analysis, both in terms of general concepts that have evolved and matured over the years and by means of concrete examples. Public Library of Science 2015-12-30 /pmc/articles/PMC4696819/ /pubmed/26717316 http://dx.doi.org/10.1371/journal.pone.0146021 Text en © 2015 Ritz et al http://creativecommons.org/licenses/by/4.0/ 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 properly credited.
spellingShingle Research Article
Ritz, Christian
Baty, Florent
Streibig, Jens C.
Gerhard, Daniel
Dose-Response Analysis Using R
title Dose-Response Analysis Using R
title_full Dose-Response Analysis Using R
title_fullStr Dose-Response Analysis Using R
title_full_unstemmed Dose-Response Analysis Using R
title_short Dose-Response Analysis Using R
title_sort dose-response analysis using r
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4696819/
https://www.ncbi.nlm.nih.gov/pubmed/26717316
http://dx.doi.org/10.1371/journal.pone.0146021
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