Dose-response analysis using R

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Dose-response analysis using R. / Ritz, Christian; Baty, Florent; Streibig, Jens Carl; Gerhard, Daniel.

In: P L o S One, Vol. 10, No. 12, e0146021, 2015.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Ritz, C, Baty, F, Streibig, JC & Gerhard, D 2015, 'Dose-response analysis using R' P L o S One, vol. 10, no. 12, e0146021. https://doi.org/10.1371/journal.pone.0146021

APA

Ritz, C., Baty, F., Streibig, J. C., & Gerhard, D. (2015). Dose-response analysis using R. P L o S One, 10(12), [e0146021]. https://doi.org/10.1371/journal.pone.0146021

Vancouver

Ritz C, Baty F, Streibig JC, Gerhard D. Dose-response analysis using R. P L o S One. 2015;10(12). e0146021. https://doi.org/10.1371/journal.pone.0146021

Author

Ritz, Christian ; Baty, Florent ; Streibig, Jens Carl ; Gerhard, Daniel. / Dose-response analysis using R. In: P L o S One. 2015 ; Vol. 10, No. 12.

Bibtex

@article{bd043632e56b40e48948c390ed440750,
title = "Dose-response analysis using R",
abstract = "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.",
author = "Christian Ritz and Florent Baty and Streibig, {Jens Carl} and Daniel Gerhard",
note = "CURIS 2015 NEXS 422",
year = "2015",
doi = "10.1371/journal.pone.0146021",
language = "English",
volume = "10",
journal = "P L o S One",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "12",

}

RIS

TY - JOUR

T1 - Dose-response analysis using R

AU - Ritz, Christian

AU - Baty, Florent

AU - Streibig, Jens Carl

AU - Gerhard, Daniel

N1 - CURIS 2015 NEXS 422

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

U2 - 10.1371/journal.pone.0146021

DO - 10.1371/journal.pone.0146021

M3 - Journal article

VL - 10

JO - P L o S One

JF - P L o S One

SN - 1932-6203

IS - 12

M1 - e0146021

ER -

ID: 152991807