Results 21 to 30 of about 2,452,838 (337)
A Linear Mixed-Effects Model of Wireless Spectrum Occupancy
EURASIP Journal on Wireless Communications and Networking, 2010 We provide regression analysis-based statistical models to explain the usage of wireless spectrum across four mid-size US cities in four frequency bands.
Pagadarai Srikanth, Wyglinski AlexanderM
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BMC Medical Research Methodology, 2016 Background The number of clusters in a cluster randomized trial is often low. It is therefore likely random assignment of clusters to treatment conditions results in covariate imbalance.
Mirjam Moerbeek, Sander van Schie
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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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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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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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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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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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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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