Zobrazeno 1 - 10
of 6 052
pro vyhledávání: '"Hierarchical modeling"'
Autor:
Chawarat Rotejanaprasert, Vilayvone Malaphone, Mayfong Mayxay, Keobouphaphone Chindavongsa, Virasack Banouvong, Boualam Khamlome, Phoutnalong Vilay, Viengxay Vanisavaeth, Richard J. Maude
Publikováno v:
Malaria Journal, Vol 23, Iss 1, Pp 1-15 (2024)
Abstract Background The government of Lao PDR has increased efforts to control malaria transmission in order to reach its national elimination goal by 2030. Weather can influence malaria transmission dynamics and should be considered when assessing t
Externí odkaz:
https://doaj.org/article/8332230cb6bc4215ad791e549ada9196
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-14 (2024)
Abstract Background The term eGene has been applied to define a gene whose expression level is affected by at least one independent expression quantitative trait locus (eQTL). It is both theoretically and empirically important to identify eQTLs and e
Externí odkaz:
https://doaj.org/article/6f4d1df2c8284b698785fc64f7921d51
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-17 (2024)
Abstract Background Surrogate endpoints, such as those of interest in chronic kidney disease (CKD), are often evaluated using Bayesian meta-regression. Trials used for the analysis can evaluate a variety of interventions for different sub-classificat
Externí odkaz:
https://doaj.org/article/2415e4fba1da44b68fc33af09146b0c3
Publikováno v:
Frontiers in Signal Processing, Vol 4 (2024)
Introduction: Gene regulatory networks (GRNs) are characterized by their dynamism, meaning that the regulatory interactions which constitute these networks evolve with time. Identifying when changes in the GRN architecture occur can inform our unders
Externí odkaz:
https://doaj.org/article/42c4ce049fdc4cc7a10151dca679d0d3
Autor:
Swarup S. Swaminathan, MD, Samuel I. Berchuck, PhD, J. Sunil Rao, PhD, Felipe A. Medeiros, MD, PhD
Publikováno v:
Ophthalmology Science, Vol 4, Iss 3, Pp 100454- (2024)
Purpose: To compare how linear mixed models (LMMs) using Gaussian, Student t, and log-gamma (LG) random effect distributions estimate rates of structural loss in a glaucomatous population using OCT and to compare model performance to ordinary least s
Externí odkaz:
https://doaj.org/article/4457d6d9321a4acf812e551724893467
Autor:
Julie Shortridge
Publikováno v:
Journal of Hydroinformatics, Vol 25, Iss 6, Pp 2389-2405 (2023)
Accurate models of water withdrawal are crucial in anticipating the potential water use impacts of drought and climate change. Machine learning methods can simulate the complex, nonlinear relationship between water use and potential explanatory facto
Externí odkaz:
https://doaj.org/article/b722b812a14e4e59a6200c63417e42b6
Autor:
Laurentiu Rozylowicz, Viorel D. Popescu, Steluta Manolache, Andreea Nita, Simona R. Gradinaru, Marian D. Mirea, Raluca I. Bancila
Publikováno v:
Global Ecology and Conservation, Vol 50, Iss , Pp e02838- (2024)
The rapid decline in global biodiversity underscores the critical need for comprehensive monitoring of wildlife distribution and abundance. This study explores the trends in applied hierarchical modeling, which is an important tool in addressing thes
Externí odkaz:
https://doaj.org/article/7240ab5c4f1048ffa24b99127aa3b575
Autor:
Bobby Hsu, Christopher Habicht
Publikováno v:
Evolutionary Applications, Vol 17, Iss 2, Pp n/a-n/a (2024)
Abstract In mixed‐stock fishery analyses, genetic stock identification (GSI) estimates the contribution of each population to a mixture and is typically conducted at a regional scale using genetic baselines specific to the stocks expected in that r
Externí odkaz:
https://doaj.org/article/af10a402111247ca90646de491c9448b
Publikováno v:
International Journal of Mathematical, Engineering and Management Sciences, Vol 8, Iss 4, Pp 547-559 (2023)
Bitcoin is an electronic cryptocurrency developed based on Blockchain technology. With its decentralized feature, it has become incredibly popular since its invention. However, the Bitcoin network suffers from 51% attacks, where if malicious attacker
Externí odkaz:
https://doaj.org/article/4162c36ae3824ae7a8283bc8910217e0
Autor:
Andrew B. Lawson
Publikováno v:
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-9 (2023)
Abstract Background Bayesian models have been applied throughout the Covid-19 pandemic especially to model time series of case counts or deaths. Fewer examples exist of spatio-temporal modeling, even though the spatial spread of disease is a crucial
Externí odkaz:
https://doaj.org/article/c625133eb929454e98a637997b9d733a