Predicted Residual Error Sum of Squares of Mixed Models: An Application for Genomic Prediction. [PDF]
Genomic prediction is a statistical method to predict phenotypes of polygenic traits using high-throughput genomic data. Most diseases and behaviors in humans and animals are polygenic traits. The majority of agronomic traits in crops are also polygenic.
Xu, Shizhong
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Penalized additive regression for space-time data: a Bayesian perspective [PDF]
We propose extensions of penalized spline generalized additive models for analysing space-time regression data and study them from a Bayesian perspective.
Fahrmeir, Ludwig +2 more
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Sophisticated sperm allocation in male fowl [PDF]
When a female is sexually promiscuous, the ejaculates of different males compete for the fertilization of her eggs; the more sperm a male inseminates into a female, the more likely he is to fertilize her eggs.
Pizzari, T. +4 more
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Derivative Computations and Robust Standard Errors for Linear Mixed Effects Models in lme4 [PDF]
While robust standard errors and related facilities are available in R for many types of statistical models, the facilities are notably lacking for models estimated via lme4.
Merkle, Edgar C., Wang, Ting
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Increased heterozygosity and allele variants are seen in Texel compared to Suffolk sheep [PDF]
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
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Permutation inference methods for multivariate meta-analysis
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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So near and yet so far: Harmonic radar reveals reduced homing ability of nosema infected honeybees [PDF]
Pathogens may gain a fitness advantage through manipulation of the behaviour of their hosts. Likewise, host behavioural changes can be a defence mechanism, counteracting the impact of pathogens on host fitness.
Clark, Suzanne J. +6 more
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Information Splitting for Big Data Analytics
Many statistical models require an estimation of unknown (co)-variance parameter(s) in a model. The estimation usually obtained by maximizing a log-likelihood which involves log determinant terms. In principle, one requires the \emph{observed information}
Gu, Tongxiang +3 more
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Optimal mapping of terrestrial gamma dose rates using geological parent material and aerogeophysical survey data [PDF]
Regulatory authorities need ways to estimate natural terrestrial gamma radiation dose rates (nGy h−1) across the landscape accurately, to assess its potential deleterious health effects. The primary method for estimating outdoor dose rate is to use an in
Beamish, D. +3 more
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Longitudinal Scalar-on-Function Regression with Application to Tractography Data [PDF]
We propose a class of estimation techniques for scalar-on-function regression in longitudinal studies where both outcomes, such as test results on motor functions, and functional predictors, such as brain images, may be observed at multiple visits.
Crainiceanu, Ciprian +3 more
core +1 more source

