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Dose-Response Analysis Using R

Open access
Ritz, Christian, Baty, Florent, Streibig, Jens C., Gerhard, Daniel·2015·PLOS ONE

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.

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Metadata

Authors
Ritz, C., Baty, F., Streibig, J. C., & Gerhard, D.
Venue
PLOS ONE
Published
2015-12-30
Volume
10
Issue
12
Pages
e0146021
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2212640525
Cited by
3,658
References
3
FWCI
96.03
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Dose-Response Analysis Using R. https://app.cochat.ai/papers/10.1371/journal.pone.0146021
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Ritz, C., Baty, F., Streibig, J. C., & Gerhard, D. (2015). Dose-Response Analysis Using R. PLOS ONE. https://doi.org/10.1371/journal.pone.0146021

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