A Bayesian hierarchical model for improving measurement of 5mC and 5hmC levels: Toward revealing associations between phenotypes and methylation states
Sign Up to like & getrecommendations! Published in 2022 at "Genetic Epidemiology"
DOI: 10.1002/gepi.22489
Abstract: 5‐hydroxymethylcytosine (5hmC) is a methylation state linked with gene regulation, commonly found in cells of the central nervous system. 5hmC is associated with demethylation of cytosines from 5‐methylcytosine (5mC) to the unmethylated state. The presence… read more here.
Keywords: hierarchical model; methylation; methylation states; 5hmc levels ... See more keywords
Bayesian hierarchical joint modeling of repeatedly measured continuous and ordinal markers of disease severity: Application to Ugandan diabetes data.
Sign Up to like & getrecommendations! Published in 2017 at "Statistics in medicine"
DOI: 10.1002/sim.7444
Abstract: Modeling of correlated biomarkers jointly has been shown to improve the efficiency of parameter estimates, leading to better clinical decisions. In this paper, we employ a joint modeling approach to a unique diabetes dataset, where… read more here.
Keywords: hierarchical joint; disease severity; bayesian hierarchical; joint modeling ... See more keywords
A Bayesian hierarchical model for individual participant data meta-analysis of demand curves.
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in medicine"
DOI: 10.1002/sim.9354
Abstract: Individual participant data meta-analysis is a frequently used method to combine and contrast data from multiple independent studies. Bayesian hierarchical models are increasingly used to appropriately take into account potential heterogeneity between studies. In this… read more here.
Keywords: analysis; bayesian hierarchical; participant data; model ... See more keywords
Bayesian Hierarchical Models as Tools to Evaluate the Association Between Groundwater Quality and the Occurrence of Type 2 Diabetes in Rural Saskatchewan, Canada
Sign Up to like & getrecommendations! Published in 2019 at "Archives of Environmental Contamination and Toxicology"
DOI: 10.1007/s00244-018-00588-4
Abstract: There is growing interest in the role of environmental exposures in the development of diabetes. Previous studies in rural Saskatchewan have raised concerns over drinking water contaminants, including arsenic, which has been identified as a… read more here.
Keywords: hierarchical models; water; bayesian hierarchical; health standards ... See more keywords
Bayesian hierarchical multi-objective optimization for vehicle parking route discovery
Sign Up to like & getrecommendations! Published in 2021 at "Innovations in Systems and Software Engineering"
DOI: 10.1007/s11334-020-00373-4
Abstract: Discovering an optimal route to the most feasible parking lot has been a matter of apprehension for any driver. Selecting the most optimal route to the most favorable lot aggravates further during peak hours of… read more here.
Keywords: technique; multi objective; objective optimization; bayesian hierarchical ... See more keywords
Multivariate Bayesian hierarchical modeling of the non-stationary traffic conflict extremes for crash estimation
Sign Up to like & getrecommendations! Published in 2020 at "Analytic Methods in Accident Research"
DOI: 10.1016/j.amar.2020.100135
Abstract: Abstract Recent studies have developed univariate and bivariate Bayesian hierarchical extreme value models to improve traffic conflict-based crash estimation through addressing the issues of non-stationarity of conflict extremes and individual conflict indicators representing only partial… read more here.
Keywords: traffic; conflict; extreme value; multivariate ... See more keywords
An anomaly detection framework for dynamic systems using a Bayesian hierarchical framework
Sign Up to like & getrecommendations! Published in 2019 at "Applied Energy"
DOI: 10.1016/j.apenergy.2019.02.025
Abstract: Abstract Complex systems are susceptible to many types of anomalies, faults, and abnormal behavior caused by a variety of off-nominal conditions that may ultimately result in major failures or catastrophic events. Early and accurate detection… read more here.
Keywords: bayesian hierarchical; system; detection framework; anomaly detection ... See more keywords
Bayesian hierarchical modeling of yield in incomplete diallel crosses of the Pacific oyster Crassostrea gigas
Sign Up to like & getrecommendations! Published in 2019 at "Aquaculture"
DOI: 10.1016/j.aquaculture.2019.05.031
Abstract: Abstract Identifying elite inbred parent lines that produce high-performing hybrid Pacific oyster seed requires diallel or factorial test crosses among lines, each acting as both a male and a female parent. Previously, we used the… read more here.
Keywords: bayesian hierarchical; parent; diallel; yield ... See more keywords
Optimal Bayesian hierarchical model to accelerate the development of tissue-agnostic drugs and basket trials.
Sign Up to like & getrecommendations! Published in 2021 at "Contemporary clinical trials"
DOI: 10.1016/j.cct.2021.106460
Abstract: Tissue-agnostic trials and basket trials enroll patients based on their genetic biomarkers, not tumor type, in an attempt to determine if a new drug can successfully treat disease conditions based on biomarkers. The Bayesian hierarchical… read more here.
Keywords: tissue; tissue agnostic; bayesian hierarchical; basket trials ... See more keywords
The heterogeneous effect of socioeconomic driving factors on PM2.5 in China's 30 province-level administrative regions: Evidence from Bayesian hierarchical spatial quantile regression.
Sign Up to like & getrecommendations! Published in 2020 at "Environmental pollution"
DOI: 10.1016/j.envpol.2020.114690
Abstract: China has become one of the most serious PM2.5-dominated air pollution country. Despite a great deal of research has focused on analysing the influence of social and economic driving forces of PM2.5 pollution in China,… read more here.
Keywords: hierarchical spatial; quantile regression; regression; spatial quantile ... See more keywords
Using Bayesian hierarchical modelling to capture cyanobacteria dynamics in Northern European lakes.
Sign Up to like & getrecommendations! Published in 2020 at "Water research"
DOI: 10.1016/j.watres.2020.116356
Abstract: Cyanobacteria blooms in lakes and reservoirs currently threaten water security and affect the ecosystem services provided by these freshwater ecosystems, such as drinking water and recreational use. Climate change is expected to further exacerbate the… read more here.
Keywords: european lakes; northern european; water; using bayesian ... See more keywords