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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Stochastic Lanczos estimation of genomic variance components for linear mixed-effects models
BMC Bioinformatics, 2019 Background Linear mixed-effects models (LMM) are a leading method in conducting genome-wide association studies (GWAS) but require residual maximum likelihood (REML) estimation of variance components, which is computationally demanding. Previous work has
Richard Border, Stephen Becker
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Information Splitting for Big Data Analytics
, 2016 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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So near and yet so far: Harmonic radar reveals reduced homing ability of nosema infected honeybees [PDF]
, 2014 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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Optimal mapping of terrestrial gamma dose rates using geological parent material and aerogeophysical survey data [PDF]
, 2012 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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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
REML estimation: asymptotic behavior and related topics
The Annals of Statistics, 1996 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Longitudinal Scalar-on-Function Regression with Application to Tractography Data [PDF]
, 2012 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
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Evaluation of Seed Yield Stability of Lentil Genotypes Based on REML/BLUP and Multi-Trait Stability Index (MTSI) [PDF]
پژوهشنامه اصلاح گیاهان زراعیExtended Abstract Background: Lentil is a popular legume crop in the Mediterranean region, widely grown for its nutritious seeds and improving soil fertility.
Payam Pezeshkpour +3 more
doaj
Trade-offs between personal immunity and reproduction in the burying beetle, N. vespilloides [PDF]
, 2014 We know that parental investment and immune investment are costly processes, but it is unclear which trait will be prioritised when both may be required.
Cotter, Sheena C. +3 more
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