Results 21 to 30 of about 301,037 (257)

Estimation Curve of Mixed Spline Truncated and Fourier Series Estimator for Geographically Weighted Nonparametric Regression

open access: yesMathematics, 2022
Geographically Weighted Regression (GWR) is the development of multiple linear regression models used in spatial data. The assumption of spatial heterogeneity results in each location having different characteristics and allows the relationships between ...
Lilis Laome   +2 more
doaj   +1 more source

Double Penalized Expectile Regression for Linear Mixed Effects Model

open access: yesSymmetry, 2022
This paper constructs the double penalized expectile regression for linear mixed effects model, which can estimate coefficient and choose variable for random and fixed effects simultaneously. The method based on the linear mixed effects model by cojoining double penalized expectile regression.
Sihan Gao   +4 more
openaire   +1 more source

Primerjava različnih regresijskih modelov za napovedovanje debelinskega priraščanja jelke

open access: yesActa Silvae et Ligni, 2021
We present seven alternative statistical models for modelling tree diameter increment with data from permanent sampling plots. In addition to the polynomial regression model, we present a regression model with added random noise, a mixed linear model ...
Andrej Ficko, Vasilije Trifković
doaj   +1 more source

Modelling subject-specific childhood growth using linear mixed-effect models with cubic regression splines

open access: yesEmerging Themes in Epidemiology, 2016
Background Childhood growth is a cornerstone of pediatric research. Statistical models need to consider individual trajectories to adequately describe growth outcomes.
Laura M. Grajeda   +10 more
doaj   +1 more source

Analysis of neonatal clinical trials with twin births

open access: yesBMC Medical Research Methodology, 2009
Background In neonatal trials of pre-term or low-birth-weight infants, twins may represent 10–20% of the study sample. Mixed-effects models and generalized estimating equations are common approaches for handling correlated continuous or binary data ...
Shaffer Michele L   +2 more
doaj   +1 more source

Longitudinal beta regression models for analyzing health-related quality of life scores over time

open access: yesBMC Medical Research Methodology, 2012
Background Health-related quality of life (HRQL) has become an increasingly important outcome parameter in clinical trials and epidemiological research. HRQL scores are typically bounded at both ends of the scale and often highly skewed.
Hunger Matthias   +2 more
doaj   +1 more source

Assessment of factors affecting flicker ERGs recorded with RETeval from data obtained from health checkup screening.

open access: yesPLoS ONE, 2023
PurposeTo determine the factors significantly associated with the amplitudes and implicit times of the flicker electroretinograms (ERGs) recorded with the RETeval system by analyzing the comprehensive data obtained during a health checkup screening ...
Taiga Inooka   +11 more
doaj   +2 more sources

Bayesian variable selection in linear quantile mixed models for longitudinal data with application to macular degeneration.

open access: yesPLoS ONE, 2020
This paper presents a Bayesian analysis of linear mixed models for quantile regression based on a Cholesky decomposition for the covariance matrix of random effects.
Yonggang Ji, Haifang Shi
doaj   +1 more source

A family of partial-linear single-index models for analyzing complex environmental exposures with continuous, categorical, time-to-event, and longitudinal health outcomes

open access: yesEnvironmental Health, 2020
Background Statistical methods to study the joint effects of environmental factors are of great importance to understand the impact of correlated exposures that may act synergistically or antagonistically on health outcomes.
Yuyan Wang   +6 more
doaj   +1 more source

An Empirical Comparison of Meta- and Mega-Analysis With Data From the ENIGMA Obsessive-Compulsive Disorder Working Group

open access: yesFrontiers in Neuroinformatics, 2019
Objective: Brain imaging communities focusing on different diseases have increasingly started to collaborate and to pool data to perform well-powered meta- and mega-analyses.
Premika S. W. Boedhoe   +106 more
doaj   +1 more source

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