Results 21 to 30 of about 2,459,647 (188)
Comparison of statistical models to analyse the genetic effect on within-litter variance in pigs
Animal, 2008 Genetics affects not only the weight of piglets at birth but also the variability of birth weight within litter. Previous studies on this topic assigned the sample standard deviation of piglet birth weights within litter as an observation to the sow ...
D. Wittenburg +3 more
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Discovering weaker genetic associations guided by known associations
BMC Medical Genomics, 2020 Background The current understanding of the genetic basis of complex human diseases is that they are caused and affected by many common and rare genetic variants.
Haohan Wang +3 more
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Current Research in Neurobiology, 2021 Nested data structures create statistical dependence that influences the effective sample size and statistical power of a study. Several methods are available for dealing with nested data, including the summary-statistics approach and multilevel ...
Carolyn Beth McNabb, Kou Murayama
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Prediction in Multivariate Mixed Linear Models [PDF]
JOURNAL OF THE JAPAN STATISTICAL SOCIETY, 2003 Summary: In the multivariate mixed linear model or multivariate components of variance model with equal replications, this paper addresses the problem of predicting the sum of the regression mean and the random effects. When the feasible best linear unbiased predictors or empirical Bayes predictors are used, this prediction problem reduces to the ...
Tatsuka Kubokawa, M. S. Srivastava
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A Bilevel Mixed-Integer Linear Programming Model for Emissions Reduction
Chemical Engineering Transactions, 2022 Government-industry interactions for emissions control can be modelled as Stackelberg or leader-follower games. Government acts as the leader by setting regulations and economic incentives, while industry as the follower reacts to these policies by ...
Raymond R. Tan, Kathleen B. Aviso
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Small Area Estimation Using a Spatio-Temporal Linear Mixed Model
Revstat Statistical Journal, 2012 In this paper it is proposed a spatio-temporal area level linear mixed model involving spatially correlated and temporally autocorrelated random effects.
Luís N. Pereira , Pedro S. Coelho
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Spatial Linear Mixed Effects Modelling for OCT Images: SLME Model
Journal of Imaging, 2020 Much recent research focuses on how to make disease detection more accurate as well as “slimmer”, i.e., allowing analysis with smaller datasets. Explanatory models are a hot research topic because they explain how the data are generated.
Wenyue Zhu +5 more
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Modelling of intensive care unit (ICU) length of stay as a quality measure: a problematic exercise
BMC Medical Research Methodology, 2023 Background Intensive care unit (ICU) length of stay (LOS) and the risk adjusted equivalent (RALOS) have been used as quality metrics. The latter measures entail either ratio or difference formulations or ICU random effects (RE), which have not been ...
John L. Moran +4 more
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Harmonization of Multicenter Cortical Thickness Data by Linear Mixed Effect Model
Frontiers in Aging Neuroscience, 2022 ObjectiveAnalyzing neuroimages being useful method in the field of neuroscience and neurology and solving the incompatibilities across protocols and vendors have become a major problem. We referred to this incompatibility as “center effects,” and in this
SeungWook Kim +12 more
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The Mixed Liu Estimator in Stochastic Restricted Linear Measurement Error Model
Journal of Mathematics, 2021 Ghapani and Babdi [1] proposed a mixed Liu estimator in linear measurement error model with stochastic linear restrictions. In this article, we propose an alternative mixed Liu estimator in the linear measurement error model with stochastic linear ...
Jibo Wu
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