Considerations in Designing Dosage Regimens for Arbekacin Sulfate: Comparison of Sawchuk-Zaske and Bayesian Methods

Autor:	Kumiyo Tatsumi, Eitaro Nakatuka, Aiko Hashimoto, Takashi Kajita, Mutsuaki Ueda, Yutaka Nishikawa, Ikuyoshi Yamamoto
Rok vydání:	2004
Předmět:	Arbekacin sulfate Computer science business.industry Bayesian probability Artificial intelligence Machine learning computer.software_genre business computer
Zdroj:	Iryo Yakugaku (Japanese Journal of Pharmaceutical Health Care and Sciences). 30:777-782
ISSN:	1882-1499 1346-342X
DOI:	10.5649/jjphcs.30.777
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ecc3d304ce753f0512722cf5ee2f7d26 https://doi.org/10.5649/jjphcs.30.777 Zobrazit plný text záznamu