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Population Pharmacokinetic Method to Predict Within-Subject Variability Using Single-Period Clinical Data.
Kang, Won-Ho; Lee, Jae-Yeon; Chae, Jung-Woo; Lee, Kyeong-Ryoon; Baek, In-Hwan; Kim, Min-Soo; Back, Hyun-Moon; Jung, Sangkeun; Shaffer, Craig; Savic, Rada; Yun, Hwi-Yeol.
Afiliação
  • Kang WH; College of Pharmacy, Chungnam National University, Deajeon 34134, Korea.
  • Lee JY; College of Pharmacy, Chungnam National University, Deajeon 34134, Korea.
  • Chae JW; Division of Convergence Technology New Drug Development Center, Osong Medical Innovation Foundation, Cheongju 28160, Korea.
  • Lee KR; College of Pharmacy, Chungnam National University, Deajeon 34134, Korea.
  • Baek IH; Laboratory Animal Resource Center, Korea Research Institute of Bioscience and Biotechnology, Ochang 28116, Korea.
  • Kim MS; College of Pharmacy, Kyungsung University, Busan 48434, Korea.
  • Back HM; College of Pharmacy, Pusan National University, Busan 46241, Korea.
  • Jung S; Department, Pharmaceutics, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, New Brunswick, NJ 08854, USA.
  • Shaffer C; Department of Computer Science and Engineering, Chungnam National University, Daejeon 34134, Korea.
  • Savic R; Department of Bioengineering and Therapeutic Sciences, School of Pharmacy, University of California, San Francisco, CA 94158, USA.
  • Yun HY; Department of Bioengineering and Therapeutic Sciences, School of Pharmacy, University of California, San Francisco, CA 94158, USA.
Pharmaceuticals (Basel) ; 14(2)2021 Feb 03.
Article em En | MEDLINE | ID: mdl-33546114
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article