Dose-response analysis using R

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 - 2015/12/1

Y1 - 2015/12/1

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

C2 - 26717316

SN - 1932-6203

VL - 10

JO - PLoS Computational Biology

JF - PLoS Computational Biology

IS - 12

M1 - e0146021

ER -