Results 11 to 20 of about 12,232,356 (294)
Variable Selection for Generalized Linear Mixed Models by L1-Penalized Estimation [PDF]
, 2011 Generalized linear mixed models are a widely used tool for modeling longitudinal data. However, their use is typically restricted to few covariates, because the presence of many predictors yields unstable estimates.
Groll, Andreas, Tutz, Gerhard
core +3 more sources
Estimating functional linear mixed-effects regression models [PDF]
Computational Statistics & Data Analysis, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Baisen Liu +2 more
openaire +1 more source
Mathematics, 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
Symmetry, 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 +2 more sources
Primerjava različnih regresijskih modelov za napovedovanje debelinskega priraščanja jelke
Acta 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
Emerging 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
BMC 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
BMC 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
Flexible semiparametric mixed models [PDF]
, 2005 In linear mixed models the influence of covariates is restricted to a strictly parametric form. With the rise of semi- and nonparametric regression also the mixed model has been expanded to allow for additive predictors.
Reithinger, Florian, Tutz, Gerhard
core +1 more source
PLoS 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