Results 51 to 60 of about 490,993 (142)

Comparison of linear mixed effects model and generalized model of the tree height-diameter relationship

Journal of Forest Science, 2015
Models of height curves generated using a linear mixed effects model and generalized model were compared. Both tested models were also compared with local models of height curves, which were fitted using a nonlinear regression.
Z. Adamec
doaj   +1 more source

Generalized Functional Additive Mixed Models

, 2016
We propose a comprehensive framework for additive regression models for non-Gaussian functional responses, allowing for multiple (partially) nested or crossed functional random effects with flexible correlation structures for, e.g., spatial, temporal, or
Gertheiss, Jan, Greven, Sonja, Scheipl, Fabian   +2 more
core   +1 more source

The analysis of correlated non-Gaussian outcomes from clusters of size two: non-multilevel-based alternatives? [PDF]

, 2012
In this presentation we discuss the analysis of clustered binary or count data, when the cluster size is two. For Gaussian outcomes, linear mixed models taking into account the correlation within clusters, are frequently used and well understood. Here we
Loeys, Tom, Molenberghs, Geert
core   +1 more source

Enhancing Cardiovascular Risk Prediction: Development of an Advanced Xgboost Model with Hospital-Level Random Effects

Bioengineering
Background: Ensemble tree-based models such as Xgboost are highly prognostic in cardiovascular medicine, as measured by the Clinical Effectiveness Metric (CEM). However, their ability to handle correlated data, such as hospital-level effects, is limited.
Tim Dong, Iyabosola Busola Oronti, Shubhra Sinha, Alberto Freitas, Bing Zhai, Jeremy Chan, Daniel P. Fudulu, Massimo Caputo, Gianni D. Angelini   +8 more
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Bayesian Variable Selection for Pareto Regression Models with Latent Multivariate Log Gamma Process with Applications to Earthquake Magnitudes

Geosciences, 2019
Generalized linear models are routinely used in many environment statistics problems such as earthquake magnitudes prediction. Hu et al. proposed Pareto regression with spatial random effects for earthquake magnitudes.
Hou-Cheng Yang, Guanyu Hu, Ming-Hui Chen
doaj   +1 more source

Flexible multi-step hypothesis testing of human ECoG data using cluster-based permutation tests with GLMEs

NeuroImage
Background: Time series analysis is critical for understanding brain signals and their relationship to behavior and cognition. Cluster-based permutation tests (CBPT) are commonly used to analyze a variety of electrophysiological signals including EEG ...
Seth D König, Sandra Safo, Kai Miller, Alexander B. Herman, David P. Darrow   +4 more
doaj   +1 more source

Shear-flexible finite-element models of laminated composite plates and shells [PDF]

Several finite-element models are applied to the linear static, stability, and vibration analysis of laminated composite plates and shells. The study is based on linear shallow-shell theory, with the effects of shear deformation, anisotropic material ...
Mathers, M. D., Noor, A. K.
core   +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

Environmental 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, Yinxiang Wu, Melanie H. Jacobson, Myeonggyun Lee, Peng Jin, Leonardo Trasande, Mengling Liu   +6 more
doaj   +1 more source

Solving Sequences of Generalized Least-Squares Problems on Multi-threaded Architectures

, 2012
Generalized linear mixed-effects models in the context of genome-wide association studies (GWAS) represent a formidable computational challenge: the solution of millions of correlated generalized least-squares problems, and the processing of terabytes of
Aulchenko, Yurii, Bientinesi, Paolo, Fabregat-Traver, Diego   +2 more
core  

Whither PQL? [PDF]

, 2003
Generalized linear mixed models (GLMM) are generalized linear models with normally distributed random effects in the linear predictor. Penalized quasi-likelihood (PQL), an approximate method of inference in GLMMs, involves repeated fitting of linear ...
Breslow, Norm
core   +1 more source