Results 31 to 40 of about 18,112,323 (302)
Restricted Likelihood Ratio Testing in Linear Mixed Models with General Error Covariance Structure [PDF]
, 2011 We consider the problem of testing for zero variance components in linear mixed models with correlated or heteroscedastic errors. In the case of independent and identically distributed errors, a valid test exists, which is based on the exact finite ...
Sonja Greven +5 more
core +1 more source
Linear mixed models for series of variety trials [PDF]
, 2011 When using linear mixed models for analysis of series of variety trials, the statistical inference space is dependent on the design of the series. In this paper, four inference spaces are recognized for one-year crop variety trials: single-year local ...
Forkman, Johannes
core +1 more source
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
doaj +1 more source
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
doaj +1 more source
A mixed model approach for structured hazard regression [PDF]
, 2004 The classical Cox proportional hazards model is a benchmark approach to analyze continuous survival times in the presence of covariate information. In a number of applications, there is a need to relax one or more of its inherent assumptions, such as ...
Thomas Kneib +4 more
core +1 more source
A variance shift model for detection of outliers in the linear mixed model
, 2010 A variance shift outlier model (VSOM), previously used for detecting outliers in the linear model, is extended to the variance components model.
Gogel, B. J. +6 more
core +1 more source
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
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT As part of the European Cooperative Study Group for Paediatric Rare Tumours initiative, we developed standard clinical practice guidelines for ovarian sex cord stromal tumors, based on comprehensive national and international cohort analyses, literature review, and a final expert consensus conference.
Dominik T. Schneider +15 more
wiley +1 more source
Text Data Analysis Using Generalized Linear Mixed Model and Bayesian Visualization
Axioms, 2022 Many parts of big data, such as web documents, online posts, papers, patents, and articles, are in text form. So, the analysis of text data in the big data domain is an important task.
Sunghae Jun
doaj +1 more source
Residual Analysis for Linear Mixed Models [PDF]
Biometrical Journal, 2007 AbstractResiduals are frequently used to evaluate the validity of the assumptions of statistical models and may also be employed as tools for model selection. For standard (normal) linear models, for example, residuals are used to verify homoscedasticity, linearity of effects, presence of outliers, normality and independence of the errors. Similar uses
Juvêncio Santos, Nobre +1 more
openaire +2 more sources