Results 81 to 90 of about 20,763 (296)
Ruxolitinib pharmacokinetics (PK) has been characterized in clinical trials but remains poorly documented in real‐world practice. This project aimed to investigate ruxolitinib PK in routine clinical practice, identify factors driving its variability, and explore exposure–response relationships to assess the potential role of therapeutic drug monitoring.
Jérémie Tachet +11 more
wiley +1 more source
Nonparametric Estimation of Spatial Risk for a Mean Nonstationary Random Field}
Introduction Estimating the spatial hazard, or in other words, the probability of exceeding a certain boundary is one of the important issues in environmental studies that are used to control the level of pollution and prevent damage from natural ...
Mohammad Moghadam, Mohsen Mohammadzadeh
doaj
ABSTRACT Large companies have a long track record of environmental, social, and governance (ESG) initiatives, whereas many small and medium‐sized enterprises (SMEs) lag in adopting sustainability‐related practices, often acting voluntarily or in response to stakeholder pressures and incentives.
Vivien Csapi +4 more
wiley +1 more source
ABSTRACT This study examines whether sustainability reporting becomes relevant to firm value partly through externally evaluated ESG performance and whether this process varies with firms' communication environments. Using firm‐year data on Korean listed firms from 2019 to 2021, we estimate regression models with year and industry fixed effects and ...
Jaehyun Park, Hyuk Kwon
wiley +1 more source
The bootstrap in threshold regression [PDF]
This paper develops a general procedure to check the bootstrap validity in M-estimation. We apply the procedure in discontinuous threshold regression to show the inconsistency of the nonparametric bootstrap for inference on the threshold point ...
Yu, Ping
core +1 more source
This research proposes an interpretable hybrid stacking ensemble framework, optimized by the Sparrow Search Algorithm, to enhance hard rock pillar stability prediction. By integrating six machine learning models—k‐nearest neighbors, support vector machines, random forests, Gradient Boosting Decision Tree, eXtreme Gradient Boosting, and Light Gradient ...
Ning Wang +3 more
wiley +1 more source
Nonparametric bootstrap methods for interval estimation of the area under the ROC curve with correlated diagnostic test data: application to whole-virus ELISA testing in swine. [PDF]
Pang J +6 more
europepmc +1 more source
On the Classical Shadow Nonparametric Bootstrap
Classical shadows are an efficient method for constructing an approximate classical description of a quantum state using very few measurements. In the paper we propose to enhance classical shadow methods using bootstrap resampling methods. We apply nonparametric bootstrapping to assess the variability and accuracy of estimators by repeatedly sampling ...
Ghysels, Eric, Morgan, Jack
openaire +2 more sources
Abstract Objective There are several clinical and research applications for determining the amount of brain tissue resected after epilepsy surgery; however, manual segmentation of postoperative magnetic resonance imaging (MRI) is imprecise and time‐consuming.
Raphael Fernandes Casseb +12 more
wiley +1 more source
The effects of nucleotide substitution model assumptions on estimates of nonparametric bootstrap support [PDF]
The use of parameter-rich substitution models in molecular phylogenetics has been criticized on the basis that these models can cause a reduction both in accuracy and in the ability to discriminate among competing topologies.
Clifford W Cunningham, Thomas R Buckley
core

