Results 41 to 50 of about 47,282 (299)
Permutation inference methods for multivariate meta-analysis
, 2019 Multivariate meta-analysis is gaining prominence in evidence synthesis research because it enables simultaneous synthesis of multiple correlated outcome data, and random-effects models have generally been used for addressing between-studies ...
Furukawa, Toshi A. +2 more
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Increased heterozygosity and allele variants are seen in Texel compared to Suffolk sheep [PDF]
, 2004 In this study, the Suffolk and Texel sheep breeds were compared for microsatellite marker heterozygosity throughout seven chromosomal regions in the sheep genome.
A Farid +48 more
core +1 more source
Fixed and Random Effects Selection by REML and Pathwise Coordinate Optimization [PDF]
Journal of Computational and Graphical Statistics, 2013 We propose a two-stage model selection procedure for the linear mixed-effects models. The procedure consists of two steps: First, penalized restricted log-likelihood is used to select the random effects, and this is done by adopting a Newton-type algorithm.
Bingqing, Lin, Zhen, Pang, Jiming, Jiang
openaire +2 more sources
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 +5 more sources
PLoS ONE, 2013 Estimation of variance components by Monte Carlo (MC) expectation maximization (EM) restricted maximum likelihood (REML) is computationally efficient for large data sets and complex linear mixed effects models.
Kaarina Matilainen +4 more
doaj +1 more source
Mean squared error of empirical predictor
, 2004 The term ``empirical predictor'' refers to a two-stage predictor of a linear combination of fixed and random effects. In the first stage, a predictor is obtained but it involves unknown parameters; thus, in the second stage, the unknown parameters are ...
Das, Kalyan +2 more
core +2 more sources
A GABAergic projection from the centromedial nuclei of the amygdala to ventromedial prefrontal cortex modulates reward behavior [PDF]
, 2016 The neural circuitry underlying mammalian reward behaviors involves several distinct nuclei throughout the brain. It is widely accepted that the midbrain dopamine (DA) neurons are critical for the reward-related behaviors.
Bhatti, Dionnet L +9 more
core +2 more sources
An Efficient Algorithm for REML in Heteroscedastic Regression [PDF]
Journal of Computational and Graphical Statistics, 2002 This article considers REML (residual or restricted maximum likelihood) estimation for heteroscedastic linear models. An explicit algorithm is given for REML scoring which yields the REML estimates together with their standard errors and likelihood values.
openaire +1 more source
β‐Adrenergic Signaling Promotes Anti‐Tumor Immunity in TP53‐mutant Oral Squamous Cell Carcinoma
Advanced Science, EarlyView.β‐adrenergic stimulation enhances anti‐tumor immunity in TP53‐deficient oral squamous cell carcinoma by inducing tumor‐derived secretion of CXCL10, which attracts and activates cytotoxic CD8+ T cells. The findings demonstrate that β‐adrenergic signaling alters tumor–immune interactions via CXCL10‐mediated paracrine activation, revealing a neuro‐immune ...
Frederico O. Gleber‐Netto +20 more
wiley +1 more source
A second-order efficient empirical Bayes confidence interval
, 2014 We introduce a new adjusted residual maximum likelihood method (REML) in the context of producing an empirical Bayes (EB) confidence interval for a normal mean, a problem of great interest in different small area applications.
Lahiri, Partha, Yoshimori, Masayo
core +1 more source