Zobrazeno 1 - 10
of 298
pro vyhledávání: '"Weng-Kee Wong"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Worldwide, governments imposed non-pharmaceutical interventions (NPIs) during the COVID-19 pandemic to contain the pandemic more effectively. We examined the effectiveness of individual NPIs in the United States during the first wave of the
Externí odkaz:
https://doaj.org/article/e933e8c8ed1c41138c5cf3feaca26f62
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology, Vol 10, Iss 11, Pp 1297-1309 (2021)
Abstract Metaheuristics is a powerful optimization tool that is increasingly used across disciplines to tackle general purpose optimization problems. Nature‐inspired metaheuristic algorithms is a subclass of metaheuristic algorithms and have been s
Externí odkaz:
https://doaj.org/article/181a5c3d446e45b9be8d279ba200df3d
Autor:
Yevgen Ryeznik, Oleksandr Sverdlov, Elin M. Svensson, Grace Montepiedra, Andrew C. Hooker, Weng Kee Wong
Publikováno v:
CPT: Pharmacometrics & Systems Pharmacology, Vol 10, Iss 10, Pp 1134-1149 (2021)
Abstract Modern drug development problems are very complex and require integration of various scientific fields. Traditionally, statistical methods have been the primary tool for design and analysis of clinical trials. Increasingly, pharmacometric ap
Externí odkaz:
https://doaj.org/article/ed27afe540b74da88001b28b0e29afc4
Publikováno v:
IEEE Access, Vol 7, Pp 7133-7146 (2019)
D-optimal designs are frequently used in controlled experiments to obtain the most accurate estimate of model parameters at minimal cost. Finding them can be a challenging task, especially when there are many factors in a nonlinear model. As the numb
Externí odkaz:
https://doaj.org/article/b2e1336c16d04c86acb2105f4b279a31
Publikováno v:
PLoS ONE, Vol 16, Iss 8 (2021)
Estimating parameters accurately in groundwater models for aquifers is challenging because the models are non-explicit solutions of complex partial differential equations. Modern research methods, such as Monte Carlo methods and metaheuristic algorit
Externí odkaz:
https://doaj.org/article/5f603d6608c8497992f7c1ed309fdd5b
Publikováno v:
PLoS ONE, Vol 15, Iss 10, p e0239864 (2020)
Finding a model-based optimal design that can optimally discriminate among a class of plausible models is a difficult task because the design criterion is non-differentiable and requires 2 or more layers of nested optimization. We propose hybrid algo
Externí odkaz:
https://doaj.org/article/6aeb5e258c2a4d7fb0951389152f502c
Publikováno v:
Journal of Statistical Software, Vol 83, Iss 1, Pp 1-19 (2018)
A multiple-objective optimal design is useful for dose-response studies because it can incorporate several objectives at the design stage. Objectives can be of varying interests and a properly constructed multiple-objective optimal design can provide
Externí odkaz:
https://doaj.org/article/147734cd42b14ecaa0a6ff98f619d69d
Autor:
Wenxi, Yu, Hua, Zhou, Youngwon, Choi, Jonathan G, Goldin, Pangyu, Teng, Weng Kee, Wong, Michael F, McNitt-Gray, Matthew S, Brown, Grace Hyun J, Kim
Publikováno v:
Med Phys
BACKGROUND: Idiopathic pulmonary fibrosis (IPF) is a progressive, irreversible, and usually fatal lung disease of unknown reasons, generally affecting the elderly population. Early diagnosis of IPF is crucial for triaging patients’ treatment planni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c51cef9a852a91ce01835b81f0b4b89
https://doi.org/10.1002/mp.16053
https://doi.org/10.1002/mp.16053
Autor:
Weng Kee Wong, Julie Zhou
Publikováno v:
Journal of Computational and Graphical Statistics. 32:744-753
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5380b2c0a127d190f409492afb24b1f0
https://doi.org/10.1080/10618600.2022.2104858
https://doi.org/10.1080/10618600.2022.2104858
Publikováno v:
Stochastic environmental research and risk assessment : research journal. 36(9)
Fractional polynomials (FP) have been shown to be more flexible than polynomial models for fitting data from an univariate regression model with a continuous outcome but design issues for FP models have lagged. We focus on FPs with a single variable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::611432254c74c15c517681b515ef8a42
https://pubmed.ncbi.nlm.nih.gov/36213335
https://pubmed.ncbi.nlm.nih.gov/36213335