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

被引：0

作者：

Sudeep Pradhan

Byungjeong Song

Jaeyeon Lee

Jung-woo Chae

Kyung Im Kim

Hyun-moon Back

Nayoung Han

Kwang-il Kwon

Hwi-yeol Yun

机构：

[1] College of Pharmacy,Department of Pharmacy, Faculty of Science

[2] Chungnam National University,undefined

[3] Academic Planning Department,undefined

[4] Yonsung Fine Chemicals,undefined

[5] National University of Singapore,undefined

[6] College of Pharmacy,undefined

[7] Korea University,undefined

[8] College of Pharmacy,undefined

[9] Chungnam National University,undefined

来源：

BMC Medical Research Methodology | / 17卷

关键词：

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

D O I：

暂无

中图分类号：

学科分类号：

摘要：

引用

共 6 条

[1] 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
Pradhan, Sudeep
Song, Byungjeong
Lee, Jaeyeon
Chae, Jung-woo
Kim, Kyung Im
Back, Hyun-moon
Han, Nayoung
Kwon, Kwang-il
Yun, Hwi-yeol
BMC MEDICAL RESEARCH METHODOLOGY, 2017, 17
[2] Recursive parameter estimation methods based on gradient search for estimating system parameters of first-order inertial control systems
Xu, Ling
2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 1353 - 1358
[3] Comparing the performance of first-order conditional estimation (FOCE) and different expectation–maximization (EM) methods in NONMEM: real data experience with complex nonlinear parent-metabolite pharmacokinetic model
Thanh Bach
Guohua An
Journal of Pharmacokinetics and Pharmacodynamics, 2021, 48 : 581 - 595
[4] Comparing the performance of first-order conditional estimation (FOCE) and different expectation-maximization (EM) methods in NONMEM: real data experience with complex nonlinear parent-metabolite pharmacokinetic model
Bach, Thanh
An, Guohua
JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS, 2021, 48 (04) : 581 - 595
[5] Comparison of statistical methods for estimation of the input parameters in the Ornstein-Uhlenbeck neuronal model from first-passage times data
Ditlevsen, Susanne
Lansky, Petr
COLLECTIVE DYNAMICS: TOPICS ON COMPETITION AND COOPERATION IN THE BIOSCIENCES, 2008, 1028 : 171 - +
[6] ESTIMATION OF POPULATION-GENETIC PARAMETERS FOR MILK PERFORMANCE CHARACTERS .3. INFLUENCE OF THE NUMBER OF TEST ANIMALS ON THE RELIABILITY OF CALCULATED INDIVIDUAL DEVIATIONS FROM THE STANDARD OF COMPARISON
BRADE, W
ARCHIV FUR TIERZUCHT-ARCHIVES OF ANIMAL BREEDING, 1979, 22 (01): : 1 - 6

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