Results 21 to 30 of about 18,285 (163)
Purpose: In the latest revision of the guideline for evaluation of bioequivalence (BE), European regulators introduced the requirement for using subjects as fixed factors in the underlying statistical models, even in replicate and semi-replicate studies.
Anders Fuglsang
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Efficient ReML inference in variance component mixed models using a Min-Max algorithm.
Since their introduction in the 50's, variance component mixed models have been widely used in many application fields. In this context, ReML estimation is by far the most popular procedure to infer the variance components of the model.
Fabien Laporte +2 more
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A new approach fits multivariate genomic prediction models efficiently
Background Fast, memory-efficient, and reliable algorithms for estimating genomic estimated breeding values (GEBV) for multiple traits and environments are needed to make timely decisions in breeding.
Alencar Xavier, David Habier
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Copula miss-specification in REML multivariate genetic animal model estimation
Background In animal genetics, linear mixed models are used to deal with genetic and environmental effects. The variance and covariance terms of these models are usually estimated by restricted maximum likelihood (REML), which provides unbiased ...
Tom Rohmer, Anne Ricard, Ingrid David
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Remling’s theorem on canonical systems
In this paper, we extend the Remling’s theorem on canonical systems that the ω limit points of the Hamiltonian under the shift map are reflectionless on the support of the absolutely continuous part of the spectral measure of a canonical system.
openaire +3 more sources
REML estimation for binary data in GLMMs
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Noh, Maengseok, Lee, Youngjo
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Background Increased serum remnant lipoproteins are supposed to predict cardiovascular disease in addition to increased LDL. A new homogenous assay for remnant lipoprotein-cholesterol (RemL-C) has been developed as an alternative to remnant-like particle-
Saikawa Shinichi +10 more
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Bayesian and average information restricted maximum likelihood (AI-REML) approaches were used to estimate variance components and genetic parameters of Wood’s lactation curve parameters of milk production traits in three lactations of Iranian Holstein ...
Keyvan Radjabalizadeh +3 more
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Strategies for multi-trait selection of sweet sorghum progenies
The selection of sweet sorghum genotypes is based on multiple agronomical and technological traits. The objectives of this study were to evaluate the effectiveness of inter-trait recovery information in improving the selective accuracy of the predicted ...
José Airton Rodrigues Nunes +3 more
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Row-col method associated with frequentist and Bayesian statistics in a passion fruit population
This study was conducted to test the significance of adding row and column factors in the frequentist and Bayesian models used in the evaluation of a population of Passiflora edulis, as well as selecting promising genotypes to form the next generation ...
Flavia Alves da Silva +5 more
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