Volume 28 Issue 5
May  2015
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Article Navigation >  Biomedical and Environmental Sciences  > 2015  >  28(5): 383-387

KE Shen, KE Qin Mei, JIA Wen Jing, CHENG Xi Yu, LI Hao, ZHANG Jie Ying, LUO Hui Fang, HE Jin Sheng, CHEN Zhi Nan. Benchmark Dose Estimation for Cadmium-Induced Renal Effects Based on a Large Sample Population from Five Chinese Provinces[J]. Biomedical and Environmental Sciences, 2015, 28(5): 383-387. doi: 10.3967/bes2015.054
Citation: KE Shen, KE Qin Mei, JIA Wen Jing, CHENG Xi Yu, LI Hao, ZHANG Jie Ying, LUO Hui Fang, HE Jin Sheng, CHEN Zhi Nan. Benchmark Dose Estimation for Cadmium-Induced Renal Effects Based on a Large Sample Population from Five Chinese Provinces[J]. Biomedical and Environmental Sciences, 2015, 28(5): 383-387. doi: 10.3967/bes2015.054
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Benchmark Dose Estimation for Cadmium-Induced Renal Effects Based on a Large Sample Population from Five Chinese Provinces

doi: 10.3967/bes2015.054

  • Col ege of Life Sciences and Bioengineering, School of Science, Beijing Jiaotong University, Beijing 100044, China

  • Tongji Medical Col ege, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China

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通讯作者: 陈斌, bchen63@163.com
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Benchmark Dose Estimation for Cadmium-Induced Renal Effects Based on a Large Sample Population from Five Chinese Provinces

doi: 10.3967/bes2015.054
  • Col ege of Life Sciences and Bioengineering, School of Science, Beijing Jiaotong University, Beijing 100044, China
  • Tongji Medical Col ege, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China
KE Shen, KE Qin Mei, JIA Wen Jing, CHENG Xi Yu, LI Hao, ZHANG Jie Ying, LUO Hui Fang, HE Jin Sheng, CHEN Zhi Nan. Benchmark Dose Estimation for Cadmium-Induced Renal Effects Based on a Large Sample Population from Five Chinese Provinces[J]. Biomedical and Environmental Sciences, 2015, 28(5): 383-387. doi: 10.3967/bes2015.054
Citation: KE Shen, KE Qin Mei, JIA Wen Jing, CHENG Xi Yu, LI Hao, ZHANG Jie Ying, LUO Hui Fang, HE Jin Sheng, CHEN Zhi Nan. Benchmark Dose Estimation for Cadmium-Induced Renal Effects Based on a Large Sample Population from Five Chinese Provinces[J]. Biomedical and Environmental Sciences, 2015, 28(5): 383-387. doi: 10.3967/bes2015.054
shu

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    Funds:  This study was financial y supported by Special Funds of the State Environmental Protection Public Welfare Industry(201009049,201309049)%National Key Technology Research and Development Program of the Ministry of Science and Technology of China(2013BAI12B03)%the Fundamental Research Funds for the Central Universities(2015JBM108)

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