bmd : an R package for benchmark dose estimation

PeerJ

article

Signe M. Jensen¹  Felix M. Kluxen²  Jens C. Streibig¹  Nina Cedergreen¹  Christian Ritz³ 

[1]Department of Plant and Environmental Sciences, University of Copenhagen

[2]ADAMA Deutschland GmbH

[3]Department of Nutrition, Exercise and Sports, University of Copenhagen

关键词: BMDL;    Hybrid approach;    Model averaging;    Risk assessment;   

DOI  :  10.7717/peerj.10557

学科分类：社会科学、人文和艺术（综合）

来源: Inra

【 摘 要 】

The benchmark dose (BMD) methodology is used to derive a hazard characterization measure for risk assessment in toxicology or ecotoxicology. The present paper’s objective is to introduce the R extension package bmd, which facilitates the estimation of BMD and the benchmark dose lower limit for a wide range of dose-response models via the popular package drc. It allows using the most current statistical methods for BMD estimation, including model averaging. The package bmd can be used for BMD estimation for binomial, continuous, and count data in a simple set up or from complex hierarchical designs and is introduced using four examples. While there are other stand-alone software solutions available to estimate BMDs, the package bmd facilitates easy estimation within the established and flexible statistical environment R. It allows the rapid implementation of available, novel, and future statistical methods and the integration of other statistical analyses.

【 授权许可】

CC BY