文献
J-GLOBAL ID:202102210776589870
整理番号:21A0097476
定量的応答データへのベンチマーク線量法の適用中のモデル選択基準のシミュレーションベース評価【JST・京大機械翻訳】
Simulation-based assessment of model selection criteria during the application of benchmark dose method to quantal response data
著者 (7件):
Yoshii Keita
(Graduate School of Medicine, Hokkaido University, Sapporo-shi, Japan)
,
Nishiura Hiroshi
(Graduate School of Medicine, Hokkaido University, Sapporo-shi, Japan)
,
Nishiura Hiroshi
(CREST, Japan Science and Technology Agency, Saitama, Japan)
,
Inoue Kaoru
(Division of Risk Assessment, National Institute of Health Sciences, Kawasaki, Japan)
,
Yamaguchi Takayuki
(Graduate School of Medicine, Hokkaido University, Sapporo-shi, Japan)
,
Yamaguchi Takayuki
(The Center for Data Science Education and Research, Shiga University, Hikone-city, Japan)
,
Hirose Akihiko
(Division of Risk Assessment, National Institute of Health Sciences, Kawasaki, Japan)
資料名:
Theoretical Biology and Medical Modelling (Web)
(Theoretical Biology and Medical Modelling (Web))
巻:
17
号:
1
ページ:
1-11
発行年:
2020年
JST資料番号:
U7345A
ISSN:
1742-4682
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)