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-Reference-Cited by-同舟云学术

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

Published:2017-12 Issue:1 Volume:17 Page:
ISSN:1471-2288
Container-title:BMC Medical Research Methodology
language:en
Short-container-title:BMC Med Res Methodol

Author:

Pradhan Sudeep,Song Byungjeong,Lee Jaeyeon,Chae Jung-woo,Kim Kyung Im,Back Hyun-moon,Han Nayoung,Kwon Kwang-il,Yun Hwi-yeol

Funder

National Research Foundation of Korea

Korea Health Industry Development Institute

Chungnam National University

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Epidemiology

Link

http://link.springer.com/content/pdf/10.1186/s12874-017-0427-0.pdf

Reference15 articles.

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5. Liu X, Wang Y. Comparing the performance of FOCE and different expectation-maximization methods in handling complex population physiologically-based pharmacokinetic models. J Pharmacokinet Pharmacodyn. 2016;43(4):359–70. https://doi.org/10.1007/s10928-016-9476-y .

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