Ritz Christian, Baty Florent, Streibig Jens C, Gerhard Daniel
Department of Nutrition, Exercise and Sports, University of Copenhagen, Rolighedsvej 26, DK-1958 Frederiksberg C, Denmark.
Pneumology, Kantonsspital St. Gallen, Rorschacher Strasse 95, CH-9007 St. Gallen, Switzerland.
PLoS One. 2015 Dec 30;10(12):e0146021. doi: 10.1371/journal.pone.0146021. eCollection 2015.
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.
剂量反应分析可以使用多功能商业统计软件来进行，但除了少数特殊情况外，由于相关的非标准输出需要手动编程，分析很容易变得繁琐。统计环境R的扩展包drc总体上为剂量反应分析提供了一个灵活且通用的基础设施。该包的当前版本反映了过去十年的扩展和修改，提供了一个用户友好的界面来指定关于剂量反应关系的模型假设，并且附带了许多提取器，用于总结拟合模型和对派生参数进行推断。本文的目的是从多年来已经发展成熟的一般概念以及通过具体示例两个方面，对最新技术水平的剂量反应分析进行概述。
