Kinetic parameter estimation of hepatocellular carcinoma on 18 F-FDG PET/CT Based on Bayesian Method.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.16139
Abstract: BACKGROUND Dynamic PET/CT combined with a dual-input three-compartment model can be applied to assess the kinetic parameters of hepatocellular carcinoma (HCC). The nonlinear least squares (NLLS) method is the most common method for fitting model… read more here.
Keywords: pet; background liver; nlls method; method ... See more keywords
A nonparametric Bayesian method for dose finding in drug combinations cancer trials
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9316
Abstract: We propose an adaptive design for early‐phase drug‐combination cancer trials with the goal of estimating the maximum tolerated dose (MTD). A nonparametric Bayesian model, using beta priors truncated to the set of partially ordered dose… read more here.
Keywords: drug; cancer trials; nonparametric bayesian; bayesian method ... See more keywords
Identifying rice stress on a regional scale from multi-temporal satellite images using a Bayesian method.
Sign Up to like & getrecommendations! Published in 2019 at "Environmental pollution"
DOI: 10.1016/j.envpol.2019.01.024
Abstract: Crops are prone to various types of stress, such as caused by heavy metals, drought and pest/disease, during their life cycle. Heavy metal stress in crops poses a serious threat to crop quality and human… read more here.
Keywords: stress regional; rice; bayesian method; stress ... See more keywords
A Bayesian Method for Selecting Data Points for Thermodynamic Modeling of Off-Stoichiometric Metal Oxides
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Materials Chemistry A"
DOI: 10.1039/d3ta06627d
Abstract: Thermodynamic characterization of metal oxide reduction/re-oxidation plays a vital role in material identification and optimization of many chemical processes. However, this characterization generally requires significant data collection (spanning several hundred... read more here.
Keywords: data points; metal; selecting data; points thermodynamic ... See more keywords
Bayesian method for comparing F1 scores in the absence of a gold standard.
Sign Up to like & getrecommendations! Published in 2025 at "Journal of biopharmaceutical statistics"
DOI: 10.1080/10543406.2025.2450319
Abstract: In the field of medicine, evaluating the diagnostic performance of new diagnostic methods can be challenging, especially in the absence of a gold standard. This study proposes a methodology for assessing the performance of diagnostic… read more here.
Keywords: absence gold; standard; gold standard; method comparing ... See more keywords
An Over-Sampling Amplitude-Limited Variational Bayesian Method for the Identification of Hammerstein Model
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3044272
Abstract: Chemical industrial processes involve numerous multivariable nonlinear systems. Nonlinear Muli-Input Muli-Output (MIMO) models seem more suitable to represent most systems and control problems in industrial processes. Furthermore, the outputs of the real systems might be… read more here.
Keywords: hammerstein model; model; variational bayesian; bayesian method ... See more keywords
A Bayesian Method for Localization by Multistatic Active Sonar
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Journal of Oceanic Engineering"
DOI: 10.1109/joe.2016.2540744
Abstract: The question of localizing a target with multistatic active sonar is reexamined from the perspective of finding a peak in a probability distribution function. The probability distribution function is constructed using straightforward Bayesian principles. Both… read more here.
Keywords: bayesian method; method; localization; multistatic active ... See more keywords
Mutant Altimetric Parameter Estimation Using a Gradient-Based Bayesian Method
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3196393
Abstract: This letter proposes an advanced Bayesian algorithm for the estimation of mutant altimetric parameters. A sparse prior is introduced to enforce a mutant evolution of the altimetric parameters. A maximum $a$ posterior (MAP) estimator based… read more here.
Keywords: mutant altimetric; parameter estimation; method; estimation ... See more keywords
A Bayesian method for adverse effects estimation in observational studies with truncation by death
Sign Up to like & getrecommendations! Published in 2024 at "Statistical Methods in Medical Research"
DOI: 10.1177/09622802241283170
Abstract: Death among subjects is common in observational studies evaluating the causal effects of interventions among geriatric or severely ill patients. High mortality rates complicate the comparison of the prevalence of adverse events between interventions. This… read more here.
Keywords: truncation death; observational studies; effects interventions; bayesian method ... See more keywords
Accuracy of predicting the vancomycin concentration in Japanese cancer patients by the Sawchuk–Zaske method or Bayesian method
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Oncology Pharmacy Practice"
DOI: 10.1177/1078155219851834
Abstract: Background In cancer patients treated with vancomycin, therapeutic drug monitoring is currently performed by the Bayesian method that involves estimating individual pharmacokinetics from population pharmacokinetic parameters and trough concentrations rather than the Sawchuk–Zaske method using… read more here.
Keywords: sawchuk zaske; bayesian method; zaske method; method ... See more keywords
A Bayesian method for identifying associations between response variables and bacterial community composition
Sign Up to like & getrecommendations! Published in 2022 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1010108
Abstract: Determining associations between intestinal bacteria and continuously measured physiological outcomes is important for understanding the bacteria-host relationship but is not straightforward since abundance data (compositional data) are not normally distributed. To address this issue, we… read more here.
Keywords: identifying associations; compositional data; method identifying; method ... See more keywords