Results 81 to 90 of about 1,122,669 (279)
BioData Mining, 2019 Background The principal line of investigation in Genome Wide Association Studies (GWAS) is the identification of main effects, that is individual Single Nucleotide Polymorphisms (SNPs) which are associated with the trait of interest, independent of ...
Elisabetta Manduchi +3 more
doaj +1 more source
Forecasting the Volatility of Australian Stock Returns: Do Common Factors Help? [PDF]
This paper develops univariate and multivariate forecasting models for realized volatility in Australian stocks. We consider multivariate models with common features or common factors, and we suggest estimation procedures for approximate factor models ...
Fashid Vahid, Heather Anderson
core
Univariate parametric survival analysis using GS-distributions. [PDF]
, 2006 The GS-distribution is a family of distributions that provide an accurate representation of any unimodal univariate continuous distribution. In this contribution we explore the utility of this family as a general model in survival analysis.
Fibla, Joan +3 more
core +4 more sources
SPG4 and Dementia: Expanding the Clinical Spectrum
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Hereditary spastic paraplegia (HSP) is a group of disorders characterized by progressive spasticity and lower limb weakness, with mutations in SPG4/SPAST being the most common cause. Detailed studies and clinical and molecular comparisons across different populations are missing.
Emanuele Panza +19 more
wiley +1 more source
Mass-univariate analysis of scalp ERPs reveals large effects of gaze fixation location during face processing that only weakly interact with face emotional expression. [PDF]
Sci Rep, 2023 Itier RJ, Durston AJ.
europepmc +1 more source
Sensitivity analysis of volatility: a new tool for risk management [PDF]
The extension of GARCH models to the multivariate setting has been fraught with difficulties. In this paper, we suggest to work with univariate portfolio GARCH models.
Ceci, Vladimiro +2 more
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Bayesian threshold selection for extremal models using measures of surprise [PDF]
, 2014 Statistical extreme value theory is concerned with the use of asymptotically motivated models to describe the extreme values of a process. A number of commonly used models are valid for observed data that exceed some high threshold.
Fan, Y., Lee, J., Sisson, S. A.
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Stereoelectroencephalography‐guided radiofrequency thermocoagulation (SEEG‐RFTC) has emerged as a safe and effective minimally invasive treatment for children with drug‐resistant focal epilepsy. Although evidence from real‐world studies remains limited, numerous pediatric cases have demonstrated promising outcomes. This retrospective
Weitao Chen +7 more
wiley +1 more source
Basic & Clinical Cancer Research, 2023 Introduction: Isocitrate Dehydrogenase (IDH) plays an important role in cellular metabolism. In gliomas, the mutational status of IDH1/2 genes have paramount significance, however, study from Western India is limited. Therefore, in the current study, we
Nikul Gohil +3 more
doaj
Outcomes After Injection-Based Therapy: A Pain Outcomes Questionnaire for Veterans Univariate Analysis. [PDF]
Fed Pract, 2022 Mukhdomi T +3 more
europepmc +1 more source