Results 161 to 170 of about 46,545 (326)
Conducting Meta-Analyses in R with the metafor Package [PDF]
The metafor package provides functions for conducting meta-analyses in R. The package includes functions for fitting the meta-analytic fixed- and random-effects models and allows for the inclusion of moderators variables (study-level covariates) in these
Wolfgang Viechtbauer
core +1 more source
BLUP, REML, and other tools in the age of genomic selection [PDF]
Esa Mäntysaari, Martin Lidauer
openalex
Evaluation of Genetic Diversity and Estimation of Heritability and Genetic Correlation Using REML for Different Traits in Grass Pea (Lathyrus sativus L.) Genotypes [PDF]
Ali Dowlatshah +4 more
openalex +1 more source
Abstract This study was undertaken to systematically evaluate the efficacy of cell therapy in reducing seizures in animal models of chronic epilepsy. Three databases, Ovid MEDLINE, Ovid Embase, and Web of Science, were searched using predetermined eligibility criteria.
Afaf S. Altalhi +6 more
wiley +1 more source
(A) A ferruginous pygmy‐owl (Glaucidium brasilianum) photo and 3D model. (B) A chestnut‐capped warbler (Basileuterus delattrii) photo and 3D model for control treatment. (C) A ferruginous pygmy owl call spectrogram. (D) A chestnut‐capped warbler song spectrogram.
Natalie V. Sánchez, Daniel J. Mennill
wiley +1 more source
Estimation of heritability for claw traits in Holstein cattle using Bayesian and REML approaches [PDF]
Radovan Kasarda +3 more
openalex +1 more source
Inspiratory and expiratory tracheal pressures during high‐intensity exercise in harness racehorses
Abstract Background Exercise‐related upper respiratory tract (URT) disorders are common in racehorses. Objective assessment of URT mechanics is essential to quantify degrees of obstruction caused by URT disorders identified upon dynamic endoscopy. Objectives To establish reference values for inspiratory and expiratory tracheal pressures (cmH2O) during ...
Hanna Vermedal +5 more
wiley +1 more source
Hierarchical Generalized Linear Models: The R Package HGLMMM [PDF]
The R package HGLMMM has been developed to fit generalized linear models with random effects using the h-likelihood approach. The response variable is allowed to follow a binomial, Poisson, Gaussian or gamma distribution.
Emmanuel Lesaffre, Marek Molas
core +1 more source

