Results 111 to 120 of about 279,034 (281)

Exploring and Interacting with the Set of Good Sparse Generalized Additive Models. [PDF]

open access: yesAdv Neural Inf Process Syst, 2023
Zhong C   +4 more
europepmc   +1 more source

Adaptive orthogonal series estimation in additive stochastic regression models [PDF]

open access: yes
In this paper, we consider additive stochastic nonparametric regression models. By approximating the nonparametric components by a class of orthogonal series and using a generalized cross-validation criterion, an adaptive and simultaneous estimation ...
Howell Tong, Jiti Gao, Rodney C Wolff
core   +1 more source

The McCance Brain Care Score and Mortality: Evidence From a Large‐Scale Population‐Based Cohort

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives This study aimed to examine the relationship between the McCance Brain Care Score (BCS) and mortality in the general population. Methods We conducted a prospective, population‐based cohort study using data from the UK Biobank. Participants with complete data enabling calculation of BCS and full mortality information were included ...
Zhiqiang Xu, Xiaoxiao Wang, Nan Li
wiley   +1 more source

Measurement error, GLMs, and notational conventions [PDF]

open access: yes
This paper introduces additive measurement error in a generalized linear-model context. We discuss the types of measurement error along with their effects on fitted models.
James W. Hardin, Raymond J. Carroll
core   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein   +7 more
wiley   +1 more source

Use of Symptomatic Drug Treatment for Fatigue in Multiple Sclerosis and Patterns of Work Loss

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To describe the use of central stimulants and amantadine for fatigue in MS and evaluate a potential association with reduced work loss in people with MS. Methods We conducted a nationwide, matched, register‐based cohort study in Sweden (2006 to 2023) using national registers with prospective data collection.
Simon Englund   +3 more
wiley   +1 more source

Recovering Gamma-Ray Burst Redshift Completeness Maps via Spherical Generalized Additive Models

open access: yesUniverse
We present an advanced statistical framework for estimating the relative intensity of astrophysical event distributions (e.g., Gamma-Ray Bursts, GRBs) on the sky tofacilitate population studies and large-scale structure analysis.
Zsolt Bagoly, Istvan I. Racz
doaj   +1 more source

Will Memantine Exacerbate Seizures in People With Epilepsy? A Prospective Cohort Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate whether add‐on memantine would exacerbate seizures in people with epilepsy. Methods This was a prospective cohort study. People with epilepsy diagnosed with cognitive impairment were consecutively invited. Those who agreed were followed up for at least 24 weeks.
Peiyu Wang   +7 more
wiley   +1 more source

Generalized nonlinearity in animal ecology: Research, review, and recommendations

open access: yesEcology and Evolution
Generalized linear models (GLMs) are an integral tool in ecology. Like general linear models, GLMs assume linearity, which entails a linear relationship between independent and dependent variables. However, because this assumption acts on the link rather
David R. Heit   +4 more
doaj   +1 more source

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