Results 211 to 220 of about 231,426 (276)
Bayesian clustering of multivariate extremes
Abstract The asymptotic dependence structure between multivariate extreme values is fully characterized by their projections on the unit simplex. Under mild conditions, the only constraint on the resulting distributions is that their marginal means must be equal, which results in a nonparametric model that can be difficult to use in applications ...
Sonia Alouini, Anthony C. Davison
wiley +1 more source
From the nationwide multicenter consortium, 8,163 patients undergoing drug‐eluting stent implantation were classified according to the presence of the CYP2C19 loss‐of‐function (LoF) allele: rapid or normal metabolizers (RMs/NMs) vs. intermediate or poor metabolizers (IMs/PMs), and clinical risk was stratified using the CHADS‐P2A2RC and TRS 2°P scores ...
Hyun Woong Park +22 more
wiley +1 more source
Superoptimal Rate of Convergence in Nonparametric Estimation for Functional Valued Processes. [PDF]
Chesneau C, Maillot B.
europepmc +1 more source
Quantification of Age and Sex Ratio Differences between Trial and Target Population for New Drugs
Clinical trials are essential to understand the benefit‐harm profile of new drugs. Lack of adequate representation in age and sex ratio in clinical trials can result, for example, in higher side effects for underrepresented patients. We quantified differences in age and sex ratios between trial and target populations of new drugs approved by the FDA ...
Miquel Serra‐Burriel +2 more
wiley +1 more source
ABSTRACT This study investigates how proactive environmental strategy, operationalized through company environmental strategy (CES) and green marketing strategy (GMS), shapes green brand competitiveness (GBC) and new green product success (NGPS) via green brand positioning (GBP).
Haozhe Ma, Arnaldo Coelho, Célia Santos
wiley +1 more source
Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan +4 more
wiley +1 more source
Bayesian nonparametric estimation of targeted agent effects on biomarker change to predict clinical outcome. [PDF]
Graziani R, Guindani M, Thall PF.
europepmc +1 more source
Flexible methods for species distribution modeling with small samples
Species distribution models (SDMs) predict where species live or could potentially live and are a key resource for ecological research and conservation decision‐making. However, current SDM methods often perform poorly for rare or inadequately sampled species, which include most species on earth, as well as most of those of the greatest conservation ...
Brian S. Maitner +4 more
wiley +1 more source
Abstract Aims Blood levels of N‐terminal pro‐brain natriuretic peptide (NT‐proBNP) may be modified by low renal clearance and anaemia. The aim of this study was to investigate the impact of the blood NT‐proBNP level on cardiovascular and renal outcomes in patients with these two manifestations.
Hiroshi Nishi +4 more
wiley +1 more source

