Results 11 to 20 of about 17,397,740 (295)
Mixed-effect models with trees
Advances in Data Analysis and Classification, 2022 AbstractTree-based regression models are a class of statistical models for predicting continuous response variables when the shape of the regression function is unknown. They naturally take into account both non-linearities and interactions. However, they struggle with linear and quasi-linear effects and assume iid data.
Anna Gottard +3 more
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Decentralized Mixed Effects Modeling in COINSTAC
Neuroinformatics, 2023 Abstract Performing group analysis on magnetic resonance imaging (MRI) data with linear mixed-effects (LME) models is challenging due to its large dimensionality and inherent multi-level covariance structure. In addition, as large-scale collaborative projects become commonplace in neuroimaging, data must increasingly ...
Sunitha Basodi +7 more
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Coefficients of Determination for Mixed-Effects Models. [PDF]
J Agric Biol Environ Stat, 2022 The coefficient of determination is well defined for linear models and its extension is long wanted for mixed-effects models. We revisit its extension to define measures for proportions of variation explained by the whole model, fixed effects only, and random effects only.
Zhang D.
europepmc +3 more sources
Stat, 2020 When multiple measures are collected repeatedly over time, redundancy typically exists among responses. The envelope method was recently proposed to reduce the dimension of responses without loss of information in regression with multivariate responses. It can gain substantial efficiency over the standard least squares estimator.
Yuyang Shi, Linquan Ma, Lan Liu
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Mixed effect models in distance sampling [PDF]
, 2013 Recently, much effort has been expended for improving conventional distance sampling methods, e.g. by replacing the design-based approach with a model-based approach where observed counts are related to environmental covariates (Hedley and Buckland, 2004)
Oedekoven, Cornelia Sabrina
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Meta-analysis in psychological research.
International Journal of Psychological Research, 2010 Meta-analysis is a research methodology that aims to quantitatively integrate the results of a set of empirical studies about a given topic. With this purpose, effect-size indices are obtained from the individual studies and the characteristics of the ...
Julio Sánchez-Meca +1 more
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Kriging with mixed effects models
Statistica, 2007 In this paper the effectiveness of the use of mixed effects models for estimation and prediction purposes in spatial statistics for continuous data is reviewed in the classical and Bayesian frameworks. A case study on agricultural data is also provided.
Alessio Pollice, Massimo Bilancia
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Parameter identifiability of fundamental pharmacodynamic models
Frontiers in Physiology, 2016 Issues of parameter identifiability of routinely used pharmacodynamics models are considered in this paper. The structural identifiability of 16 commonly applied pharmacodynamic model structures was analysed analytically, using the input-output approach.
Linnéa Bergenholm +6 more
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Flexible semiparametric mixed models [PDF]
, 2005 In linear mixed models the influence of covariates is restricted to a strictly parametric form. With the rise of semi- and nonparametric regression also the mixed model has been expanded to allow for additive predictors.
Reithinger, Florian, Tutz, Gerhard
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