Results 71 to 80 of about 123,927 (254)
Modified two parameter ridge estimator for beta regression model
A beta regression model (BRM) typically occurs when your data involves proportions or continuous response variables that are bounded between 0 and 1, and the distributional assumptions and functional forms of a GLM with a standard error distribution (e.g.
Ayesha Junaid +6 more
doaj +1 more source
Learning High-Dimensional Markov Forest Distributions: Analysis of Error Rates [PDF]
The problem of learning forest-structured discrete graphical models from i.i.d. samples is considered. An algorithm based on pruning of the Chow-Liu tree through adaptive thresholding is proposed.
Anandkumar, Animashree +2 more
core +5 more sources
RNA Sequencing Resolves Cryptic Pathogenic Variants in Mitochondrial Disease
ABSTRACT Objective Mitochondrial diseases are the most common inherited metabolic disorders, characterized by pronounced clinical and genetic heterogeneity that complicates molecular diagnosis. Although DNA‐based sequencing approaches have become standard in genetic testing, up to half of patients remain without a definitive diagnosis.
Zhimei Liu +21 more
wiley +1 more source
Added Prognostic Value of EEG Reactivity in Comatose Patients Following Cardiac Arrest
ABSTRACT Objectives To evaluate the added prognostic value of EEG reactivity for favorable outcome compared with background analysis during and after targeted temperature management (TTM). Methods Prospective observational cohort study of comatose post–cardiac arrest patients admitted to a single academic center between 2017 and 2022, all undergoing ...
Sarah Caroyer +11 more
wiley +1 more source
New Versions of Liu-type Estimator in Weighted and non-weighted Mixed Regression Model
This paper considers and proposes new estimators that depend on the sample and on prior information in the case that they either are equally or are not equally important in the model.
Mustafa Ismaeel Naif Alheety
doaj
Determinantes del tipo impositivo efectivo en el sector turístico: un modelo dinámico con datos de panel [PDF]
This paper presents a dynamic model of the Effective Tax Rate (ETR) in the tourism sector. A dynamic model where the lagged endogenous variable ETR has been included as a regressor to identify the dynamic structure of the variable due to the existence
González Rodríguez, María Rosario +2 more
core
Uncovering G Protein‐Coupled Receptors: Novel Targets and Biomarkers for Predicting Glioma Prognosis
ABSTRACT Background Low‐grade gliomas (LGG) exhibit significant heterogeneity and recurrence risk. G protein‐coupled receptors (GPCR) contribute to glioma malignant progression, but their prognostic value remains unclear. This work attempts to formulate a GPCR‐based outcome‐predicting model for LGG. Methods Based on TCGA LGG data, the enrichment scores
Jun Yang +4 more
wiley +1 more source
Post-Regularization Inference for Time-Varying Nonparanormal Graphical Models
We propose a novel class of time-varying nonparanormal graphical models, which allows us to model high dimensional heavy-tailed systems and the evolution of their latent network structures.
Kolar, Mladen, Liu, Han, Lu, Junwei
core
Objectives While the definition of a gout flare is well established, the state of gout flare resolution has not yet been defined. This study aimed to explore patients’ experiences and perceptions of gout flare resolution. Methods Semi‐structured interviews were conducted with 24 people with gout, guided by open‐ended questions exploring their ...
Sarah Stewart +5 more
wiley +1 more source
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez +5 more
wiley +1 more source

