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Dose-Response Analysis Using R

PLoS ONE · 2015 · Vol. 10(12) · pp. e0146021–e0146021
Christian RitzFlorent BatyJ. C. StreibigDaniel Gerhard

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.

Optimal Experimental Design MethodsRadiation Effects and DosimetryCarcinogens and Genotoxicity AssessmentComputer scienceR packageStatistical analysisSoftwareStatistical inferenceInterface (matter)Software packageInferenceExtension (predicate logic)Statistical model

MeSH terms

AnimalsData Interpretation, StatisticalDose-Response Relationship, DrugHumansSoftwareModels, StatisticalLikelihood FunctionsLeast-Squares AnalysisNonlinear Dynamics
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