Determinants of old age disability in Botswana: an empirical investigation using generalized linear models. [PDF]
BMC GeriatrMonamo TT, Keetile M, Letamo G.
europepmc +1 more source
A hierarchical prior for generalized linear models based on predictions for the mean response. [PDF]
Biostatistics, 2022 Alt EM, Psioda MA, Ibrahim JG.
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Measurement error, GLMs, and notational conventions [PDF]
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.
Raymond J. Carroll, James W. Hardin
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou +16 more
wiley +1 more source
Bayesian inference for generalized linear models via quasi-posteriors. [PDF]
BiometrikaAgnoletto D, Rigon T, Dunson DB.
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The Estimation of Item Response Models with the lmer Function from the lme4 Package in R [PDF]
In this paper we elaborate on the potential of the lmer function from the lme4 package in R for item response (IRT) modeling. In line with the package, an IRT framework is described based on generalized linear mixed modeling. The aspects of the framework
Ivailo Partchev +6 more
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Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source
Data Analysis Using Hierarchical Generalized Linear Models with R
Journal of Statistical Software, 2019 Carmen Armero
doaj +1 more source
Testing generalized linear models with high-dimensional nuisance parameter. [PDF]
Biometrika, 2023 Chen J, Li Q, Chen HY.
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Metabolic and Microvascular Risk Factors Associated With Brain Health in Type 1 Diabetes
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT We examined relationships between metabolic factors, microvascular complications, and brain health in adults with type 1 diabetes. Fifty‐one adults were assessed for metabolic risk factors, microvascular complications, and cognitive function, with a subset completing brain MRI.
Jihyun Park +7 more
wiley +1 more source