A variance shilf model for outlier detection and estimation in linear and linear mixed models
, 2008 Includes abstract.Includes bibliographical references.Outliers are data observations that fall outside the usual conditional ranges of the response data.They are common in experimental research data, for example, due to transcription errors or faulty ...
Gumedze, Freedom Nkhululeko
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Purpose White matter hyperintensities (WMH) are a core neuroimaging marker of cerebral small vessel disease (CSVD). Sleep apnoea (SA) is a recognized vascular risk factor, but its associations with regional WMH burden, short‐interval WMH change and cognitive performance in population‐based cohorts remain incompletely defined. We
Peng Cheng +4 more
wiley +1 more source
The Role of Nut Sensitization in Pru p 3-Sensitized Patients: A XGBoost and Generalized Linear Model Application. [PDF]
Int J Mol SciGangemi S +6 more
europepmc +1 more source
Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani +10 more
wiley +1 more source
Diagnosis of Cushing's syndrome with generalized linear model and development of mobile application. [PDF]
Medicine (Baltimore)Aydemir M, Çakir M, Oral O, Yilmaz M.
europepmc +1 more source
Fishing trip cost modeling using generalized linear model and machine learning methods - A case study with longline fisheries in the Pacific and an application in Regulatory Impact Analysis. [PDF]
PLoS One, 2021 Chan HL, Pan M.
europepmc +1 more source
Diagnostics for generalised linear mixed models [PDF]
Generalized linear mixed models are generalized linear models that include random effects varying between clusters or 'higher-level' units of hierarchically structured data. Such models can be estimated using gllamm.
Sophia Rabe-Hesketh, Anders Skrondal
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Collaterals are crucial factors that influence the infarct growth rate (IGR). We aimed to determine whether a comprehensive multimodal collateral score (MCS), incorporating collateral assessment at the arterial, tissue, and venous levels, is associated with functional independence and provides incremental prognostic value over ...
Giorgio Busto +12 more
wiley +1 more source
Predicting energy consumption SAG mills through Bayesian generalized linear model and random forest. [PDF]
Min Technol (Abingdon)Magzumov Z, Kumral M.
europepmc +1 more source
Influence of foods and nutrients on COVID-19 recovery: A multivariate analysis of data from 170 countries using a generalized linear model. [PDF]
Clin Nutr, 2022 Cobre AF +8 more
europepmc +1 more source