Performance comparison of first-order conditional estimation with interaction and Bayesian estimation methods for estimating the population parameters and its distribution from data sets with a low number of subjects.

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作者： Sudeep,Pradhan ^[1] ; Byungjeong,Song ^[1] ; Jaeyeon,Lee ^[2] ; Jung-Woo,Chae ^[3] ; Kyung Im,Kim ^[4] ; Hyun-Moon,Back ^[1] ; Nayoung,Han ^[1] ; Kwang-Il,Kwon ^[5] ; Hwi-Yeol,Yun ^[6]

作者单位： College of Pharmacy, Chungnam National University, Daejeon, 34134, Republic of Korea. ^[1] Academic Planning Department, Yonsung Fine Chemicals, Suwon, 16675, Republic of Korea. ^[2] Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore, 117543, Singapore. ^[3] College of Pharmacy, Korea University, Sejong, 30019, Republic of Korea. ^[4] College of Pharmacy, Chungnam National University, Daejeon, 34134, Republic of Korea. kwon@cnu.ac.kr. ^[5] College of Pharmacy, Chungnam National University, Daejeon, 305-764, South Korea. kwon@cnu.ac.kr. ^[6] College of Pharmacy, Chungnam National University, Daejeon, 34134, Republic of Korea. hyyun@cnu.ac.kr. ^[7] College of Pharmacy, Chungnam National University, Daejeon, 305-764, South Korea. hyyun@cnu.ac.kr. ^[8]

关键词 Estimation methods Few subjects First-order conditional estimation with interaction Markov chain Monte Carlo Bayesian NONMEM