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PLoS ONE· 2015Q1

Dose-Response Analysis Using R

Christian Ritz, Florent Baty, J. C. Streibig, Daniel Gerhard

Short summary

The R extension package 'drc' offers a flexible and user-friendly infrastructure for dose-response analyses, simplifying complex statistical modeling and inference for derived parameters.

AI-generated from the title and abstract; the full text is not read.

Key points

  • The R package 'drc' simplifies dose-response analysis.
  • It provides a user-friendly interface for specifying model assumptions.
  • The package includes tools for summarizing fitted models and inference on derived parameters.

AI-generated from the title and abstract; the full text is not read.

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.

The authors' abstract, as published at the source. PLoS ONE, 2015 · DOI ↗

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Field: Management Science and Operations Research

Management Science and Operations ResearchDecision Sciences