Results 101 to 110 of about 5,713 (196)

VarReg: An R package for semi-parametric variance regression

open access: yesSoftwareX
Variance regression is used to model heteroscedasticity in terms of covariates. Algorithms already exist but they may face computational instability due to the required parameter constraints.
Kristy P Robledo, Ian C Marschner
doaj   +1 more source

Life Course Trajectories of Body Mass Index and Risk of Cancer in Adulthood: Systematic Review and Meta‐Analysis

open access: yesObesity Reviews, Volume 27, Issue 8, August 2026.
ABSTRACT Objective This systematic review and meta‐analysis aimed to identify common life‐course body mass index (BMI) trajectories (childhood/adulthood to adulthood) and their impact on risk of cancer overall and cancer at different sites in adulthood. Methods Observational studies were identified that assessed the association of BMI trajectories with
Samira Behboudi‐Gandevani   +6 more
wiley   +1 more source

Longitudinal Data Regression Analysis Using Semiparametric Modelling

open access: yesRevstat Statistical Journal
Zhang, Leng and Tang (2015) propose joint parametric modelling of the means, variances, and the correlations by decomposing the correlation matrix via hyperspherical co-ordinates and show that this results unconstrained parameterization, fast ...
Abdulla Mamun, Sudhir Paul
doaj  

A Novel Framework for Understanding Multiaxial Fatigue of SBR Through Monitored Tension‐Torsion Tests

open access: yesStrain, Volume 62, Issue 4, August 2026.
A new methodology shows that current multiaxiall fatigue criteria are not sufficient. ABSTRACT In the present work, mappings of two invariants of the true strain tensor, K2$$ {K}_2 $$ that measures the magnitude of the distortion and K3$$ {K}_3 $$ that quantifies the mode of distortion, are used to investigate the multiaxial fatigue of AE2 and AE42 ...
Benjamin Martin   +3 more
wiley   +1 more source

Fuzzy Semi-Parametric Regression Based on Z-numbers

open access: yesTransactions on Fuzzy Sets and Systems
Semi-parametric regression models are highly valued for combining parametric structure with nonparametric flexibility. However, in real-world situations involving data with inherent uncertainty and variable reliability, classical fuzzy numbers are ...
Mahdi Ali Abdulhussein   +2 more
doaj  

Semiparametric modeling for the cardiometabolic risk index and individual risk factors in the older adult population: A novel proposal.

open access: yesPLoS ONE
The accurate monitoring of metabolic syndrome in older adults is relevant in terms of its early detection, and its management. This study aimed at proposing a novel semiparametric modeling for a cardiometabolic risk index (CMRI) and individual risk ...
Philippe Tagder   +7 more
doaj   +1 more source

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