Results 81 to 90 of about 208,783 (277)
Alternative regression models to assess increase in childhood BMI
BMC Medical Research Methodology, 2008 Background Body mass index (BMI) data usually have skewed distributions, for which common statistical modeling approaches such as simple linear or logistic regression have limitations.
Mansmann Ulrich +3 more
doaj +1 more source
Bernoulli Regression Models: Re-examining Statistical Models with Binary Dependent Variables [PDF]
The classical approach for specifying statistical models with binary dependent variables in econometrics using latent variables or threshold models can leave the model misspecified, resulting in biased and inconsistent estimates as well as erroneous ...
Bergtold, Jason S., Spanos, Aris
core +1 more source
Axiomatic Interpretability for Multiclass Additive Models
, 2019 Generalized additive models (GAMs) are favored in many regression and binary classification problems because they are able to fit complex, nonlinear functions while still remaining interpretable.
Caruana, Rich +5 more
core +1 more source
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
Ciência Florestal, 2017 This work aimed to evaluate linear and nonlinear, classical and generalized models with the addition of covariates for modeling the hypsometric relation and the height growth of dominant and codominant trees of eucalypt clones.
Elliezer de Almeida Melo +5 more
doaj
Least-MSE calibration procedures for corrections of measurement and misclassification errors in generalized linear models [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2012 The analyses of clinical and epidemiologic studies are often based on some kind of regression analysis, mainly linearregression and logistic models. These analyses are often affected by the fact that one or more of the predictors are measuredwith error ...
Parnchit Wattanasaruch +2 more
doaj
The Role of Calcitonin Gene‐Related Peptide in High‐Altitude Headache: A Prospective Field Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective High‐altitude headache (HAH) is a common neurological condition associated with rapid ascent to high altitude. The pathophysiological mechanisms underlying HAH remain incompletely understood. Calcitonin gene‐related peptide (CGRP), a neuropeptide implicated in migraine pathophysiology, may play a key role in the pathophysiology of ...
Roman Schniepp +4 more
wiley +1 more source
BMC Bioinformatics, 2008 Background Growing interest on biological pathways has called for new statistical methods for modeling and testing a genetic pathway effect on a health outcome.
Lin Xihong, Ghosh Debashis, Liu Dawei
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective High‐resolution MRI enables detailed assessment of intracranial vessel wall pathology in moyamoya vasculopathy. We aimed to classify adult moyamoya vasculopathy etiologies using high‐resolution MRI and to examine subtype‐specific associations between high‐resolution MRI features and ischemic infarction.
Guangsong Han +8 more
wiley +1 more source
Predictive Ability of Plasma p‐tau217 for β‐Amyloid Status: A Prospective Multicenter Study
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Plasma tau phosphorylated at threonine 217 (p‐tau217) measured with fully automated platforms has shown high accuracy for Alzheimer's disease (AD) diagnosis, but real‐world multicenter data remain limited. We aimed to validate the diagnostic performance of p‐tau217 for identifying AD pathology in a real‐world multicenter cohort ...
Miquel Massons +33 more
wiley +1 more source