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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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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. |
format | Online Article Text |
id | pubmed-4696819 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT ritzchristian doseresponseanalysisusingr AT batyflorent doseresponseanalysisusingr AT streibigjensc doseresponseanalysisusingr AT gerharddaniel doseresponseanalysisusingr |