Results 61 to 70 of about 621,525 (301)

Impact of Asymptomatic Intracranial Hemorrhage on Outcome After Endovascular Stroke Treatment

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Endovascular treatment (EVT) achieves high rates of recanalization in acute large‐vessel occlusion (LVO) stroke, but functional recovery remains heterogeneous. While symptomatic intracranial hemorrhage (sICH) has been well studied, the prognostic impact of asymptomatic intracranial hemorrhage (aICH) after EVT is less certain ...
Shihai Yang   +22 more
wiley   +1 more source

Prediction of Young’s modulus of rock materials by multivariate regression analysis and neuro-fuzzy model

open access: yesAI in Civil Engineering
Young’s modulus is one of the geomechanical properties used in the design phase of different rock engineering applications. Difficulties in sample preparation and the high cost of experimental equipment lead researchers to perform studies on the ...
Hasan Karakul
doaj   +1 more source

Factors affecting the accuracy of chest compression depth estimation [PDF]

open access: yesClinical and Experimental Emergency Medicine, 2014
Objective We aimed to estimate the accuracy of visual estimation of chest compression depth and identify potential factors affecting accuracy. Methods This simulation study used a basic life support mannequin, the Ambu man.
Jung Hee Kang   +12 more
doaj   +1 more source

Optimal pseudolikelihood estimation in the analysis of multivariate missing data with nonignorable nonresponse [PDF]

open access: yesBiometrika, 2018
Tang et al. (2003) considered a regression model with missing response, where the missingness mechanism depends on the value of the response variable and hence is nonignorable. They proposed three pseudolikelihood estimators, based on different treatments of the probability distribution of the completely observed covariates.
Jiwei, Zhao, Yanyuan, Ma
openaire   +2 more sources

Multivariate Nonparametric Estimation of the Pickands Dependence Function using Bernstein Polynomials

open access: yes, 2016
Many applications in risk analysis, especially in environmental sciences, require the estimation of the dependence among multivariate maxima. A way to do this is by inferring the Pickands dependence function of the underlying extreme-value copula.
Marcon, G.   +4 more
core   +3 more sources

A Systematic Review and Meta‐Analysis of the Recurrence of Autoimmune Encephalitis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Autoimmune encephalitis (AE) is a disease with a potential for recurrence, and patients receive immunotherapy to prevent it. However, there is no consensus on the duration of immunotherapy. This study aimed to determine the recurrence rate and identify the risk factors for AE to provide guidance on the duration of immunotherapy ...
Shangkai Bai   +5 more
wiley   +1 more source

Model-based Methods of Classification: Using the mclust Software in Chemometrics

open access: yesJournal of Statistical Software, 2007
Due to recent advances in methods and software for model-based clustering, and to the interpretability of the results, clustering procedures based on probability models are increasingly preferred over heuristic methods. The clustering process estimates a
Chris Fraley, Adrian E. Raftery
doaj  

Estimation of Water Quality of Fish Farms using Multivariate Statistical Analysis [PDF]

open access: yesJournal of information and communication convergence engineering, 2011
In this research, we have attempted to estimate the water quality of fish farms in terms of parameters such as water temperature, dissolved oxygen, pH, and salinity by employing observational data obtained from a coastal ocean observatory of a national institution located close to the fish farm.
Heetaek Ceong, Hae-Ran Kim
openaire   +1 more source

Observed Range Maximum Likelihood Estimation [PDF]

open access: yes, 2011
The idea of maximizing the likelihood of the observed range for a set of jointly realized counts has been employed in a variety of contexts. The applicability of the MLE introduced in [1] has been extended to the general case of a multivariate sample ...
Markov, Plamen
core  

Multidimensional Profiling of MRI‐Negative Temporal Lobe Epilepsy Uncovers Distinct Phenotypes

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Although hippocampal sclerosis (TLE‐HS) represents the most frequent cause of temporal lobe epilepsy (TLE), up to 30% of patients show no lesion on visual MRI inspection (TLE‐MRIneg). These cases pose diagnostic and therapeutic challenges and are underrepresented in surgical series.
Alice Ballerini   +28 more
wiley   +1 more source

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