Results 21 to 30 of about 18,112,323 (302)
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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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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Subset Selection for Linear Mixed Models
Biometrics, 2022 AbstractLinear mixed models (LMMs) are instrumental for regression analysis with structured dependence, such as grouped, clustered, or multilevel data. However, selection among the covariates—while accounting for this structured dependence—remains a challenge. We introduce a Bayesian decision analysis for subset selection with LMMs. Using a Mahalanobis
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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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A variance shilf model for outlier detection and estimation in linear and linear mixed models [PDF]
, 2008 Includes abstract.Includes bibliographical references.Outliers are data observations that fall outside the usual conditional ranges of the response data.They are common in experimental research data, for example, due to transcription errors or faulty ...
Gumedze, Freedom Nkhululeko
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A Bayesian semiparametric latent variable model for mixed responses [PDF]
, 2006 In this article we introduce a latent variable model (LVM) for mixed ordinal and continuous responses, where covariate effects on the continuous latent variables are modelled through a flexible semiparametric predictor. We extend existing LVM with simple
Raach, Alexander, Fahrmeir, Ludwig
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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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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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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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