A review of recent advances in benchmark dose methodology
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A review of recent advances in benchmark dose methodology. / Jensen, Signe Marie; Kluxen, Felix M; Ritz, Christian.
In: Risk Analysis, Vol. 39, No. 10, 2019, p. 2295-2315.Research output: Contribution to journal › Review › Research › peer-review
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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 - 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
C2 - 31046141
VL - 39
SP - 2295
EP - 2315
JO - Risk Analysis
JF - Risk Analysis
SN - 0272-4332
IS - 10
ER -
ID: 217516837