Spatial Modeling of Deforestation Probability Using Generalized Linear and Additive Models [PDF]
بومشناسی جنگلهای ایرانExtended Abstract Background: Deforestation poses a serious threat to ecosystems by reducing biodiversity, disrupting hydrological cycles, and exacerbating climate change. In addition to undermining natural resources, it adversely impacts local economies
Saeid Shabani +2 more
doaj
Generalized nonlinearity in animal ecology: Research, review, and recommendations
Ecology and EvolutionGeneralized 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
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Using generalized additive models to decompose time series and waveforms, and dissect heart-lung interaction physiology. [PDF]
J Clin Monit Comput, 2023 Enevoldsen J, Simpson GL, Vistisen ST.
europepmc +1 more source
Variance estimation for the instrumental variables approach to measurement error in generalized linear models [PDF]
This paper derives and gives explicit formulas for a derived sandwich variance estimate. This variance estimate is appropriate for generalized linear additive measurement error models fitted using instrumental variables.
James W. Hardin, Raymond J. Carroll
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Status epilepticus (SE) is associated with significant mortality. Sleep architecture may reflect normal brain function. Impaired sleep architecture is associated with poorer outcomes in numerous conditions. Here we investigate the association of sleep architecture in continuous EEG (cEEG) with survival in SE.
Ran R. Liu +5 more
wiley +1 more source
Statistical inference for ordinal predictors in generalized additive models with application to Bronchopulmonary Dysplasia. [PDF]
BMC Res Notes, 2022 Gertheiss J +3 more
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Adaptive orthogonal series estimation in additive stochastic regression models [PDF]
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
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Super‐Refractory Status Epilepticus (SRSE) is a rare, life‐threatening neurological emergency with unclear etiology in many cases. Mitochondrial dysfunction, often due to disease‐causing genetic variants, is increasingly recognized as a cause, with each gene producing distinct pathophysiological mechanisms.
Pouria Mohammadi +2 more
wiley +1 more source
Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein +13 more
wiley +1 more source
Generalized Additive Models: An Introduction with R (2nd Edition)
Journal of Statistical Software, 2018 Virgilio Gomez-Rubio
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