A review of recent advances in benchmark dose methodology

Publikation: Bidrag til tidsskriftReviewForskningfagfællebedømt

Standard

A review of recent advances in benchmark dose methodology. / Jensen, Signe Marie; Kluxen, Felix M; Ritz, Christian.

I: Risk Analysis, Bind 39, Nr. 10, 2019, s. 2295-2315.

Publikation: Bidrag til tidsskriftReviewForskningfagfællebedømt

Harvard

Jensen, SM, Kluxen, FM & Ritz, C 2019, 'A review of recent advances in benchmark dose methodology', Risk Analysis, bind 39, nr. 10, s. 2295-2315. https://doi.org/10.1111/risa.13324

APA

Jensen, S. M., Kluxen, F. M., & Ritz, C. (2019). A review of recent advances in benchmark dose methodology. Risk Analysis, 39(10), 2295-2315. https://doi.org/10.1111/risa.13324

Vancouver

Jensen SM, Kluxen FM, Ritz C. A review of recent advances in benchmark dose methodology. Risk Analysis. 2019;39(10):2295-2315. https://doi.org/10.1111/risa.13324

Author

Jensen, Signe Marie ; Kluxen, Felix M ; Ritz, Christian. / A review of recent advances in benchmark dose methodology. I: Risk Analysis. 2019 ; Bind 39, Nr. 10. s. 2295-2315.

Bibtex

@article{229fa47452bb4683bde5aea79450aae6,
title = "A review of recent advances in benchmark dose methodology",
abstract = "In this review, recent methodological developments for the benchmark dose (BMD) methodology are summarized. Specifically, we introduce the advances for the main steps in BMD derivation: selecting the procedure for defining a BMD from a predefined benchmark response (BMR), setting a BMR, selecting a dose-response model, and estimating the corresponding BMD lower limit (BMDL). Although the last decade has shown major progress in the development of BMD methodology, there is still room for improvement. Remaining challenges are the implementation of new statistical methods in user-friendly software and the lack of consensus about how to derive the BMDL.",
keywords = "The Faculty of Science, BMDL, Hybrid approach, Model averaging, Risk assessment, Simultaneous inference",
author = "Jensen, {Signe Marie} and Kluxen, {Felix M} and Christian Ritz",
note = "CURIS 2019 NEXS 150 {\circledC} 2019 Society for Risk Analysis.",
year = "2019",
doi = "10.1111/risa.13324",
language = "English",
volume = "39",
pages = "2295--2315",
journal = "Risk Analysis",
issn = "0272-4332",
publisher = "Wiley-Blackwell",
number = "10",

}

RIS

TY - JOUR

T1 - A review of recent advances in benchmark dose methodology

AU - Jensen, Signe Marie

AU - Kluxen, Felix M

AU - Ritz, Christian

N1 - CURIS 2019 NEXS 150 © 2019 Society for Risk Analysis.

PY - 2019

Y1 - 2019

N2 - In this review, recent methodological developments for the benchmark dose (BMD) methodology are summarized. Specifically, we introduce the advances for the main steps in BMD derivation: selecting the procedure for defining a BMD from a predefined benchmark response (BMR), setting a BMR, selecting a dose-response model, and estimating the corresponding BMD lower limit (BMDL). Although the last decade has shown major progress in the development of BMD methodology, there is still room for improvement. Remaining challenges are the implementation of new statistical methods in user-friendly software and the lack of consensus about how to derive the BMDL.

AB - In this review, recent methodological developments for the benchmark dose (BMD) methodology are summarized. Specifically, we introduce the advances for the main steps in BMD derivation: selecting the procedure for defining a BMD from a predefined benchmark response (BMR), setting a BMR, selecting a dose-response model, and estimating the corresponding BMD lower limit (BMDL). Although the last decade has shown major progress in the development of BMD methodology, there is still room for improvement. Remaining challenges are the implementation of new statistical methods in user-friendly software and the lack of consensus about how to derive the BMDL.

KW - The Faculty of Science

KW - BMDL

KW - Hybrid approach

KW - Model averaging

KW - Risk assessment

KW - Simultaneous inference

U2 - 10.1111/risa.13324

DO - 10.1111/risa.13324

M3 - Review

VL - 39

SP - 2295

EP - 2315

JO - Risk Analysis

JF - Risk Analysis

SN - 0272-4332

IS - 10

ER -

ID: 217516837