نتایج جستجو برای: linear mixed effects modelling lmm

تعداد نتایج: 2289214  

2012
John Hughes Murali Haran M. Haran

Non-Gaussian spatial data are very common in many disciplines.For instance, count data are common in disease mapping, and binary data are common in ecology.When fitting spatial regressions for such data, one needs to account for dependence to ensure reliable inference for the regression coefficients. The spatial generalized linear mixed model offers a very popular and flexible approach to model...

Journal: :Journal of Statistical Software 2018

2007
Roser Bono Jaume Arnau Nekane Balluerka

The objectives of this article are twofold: (a) to outline the basic concepts associated with the linear mixed model and (b) to illustrate how this model can be used to analyse systematic interindividual differences in intraindividual change, this being achieved through a longitudinal study of a cohort of children living in Cordoba (Argentina). These objectives will be met by using the PROC MIX...

2017
Antje Nuthmann

Scene perception requires the orchestration of image- and task-related processes with oculomotor constraints. The present study was designed to investigate how these factors influence how long the eyes remain fixated on a given location. Linear mixed models (LMMs) were used to test whether local image statistics (including luminance, luminance contrast, edge density, visual clutter, and the num...

Journal: :Math. Program. 2003
Teemu Pennanen Benar Fux Svaiter

In this paper a new class of proximal-like algorithms for solving monotone inclusions of the form T (x) 3 0 is derived. It is obtained by applying linear multi-step methods (LMM) of numerical integration in order to solve the differential inclusion ẋ(t) ∈ −T (x(t)), which can be viewed as a generalization of the steepest decent method for a convex function. It is proved that under suitable cond...

Journal: :Journal of Cosmology and Astroparticle Physics 2018

Journal: :BMC Medical Research Methodology 2021

Abstract Background Linear mixed models (LMM) are a common approach to analyzing data from cluster randomized trials (CRTs). Inference on parameters can be performed via Wald tests or likelihood ratio (LRT), but both approaches may give incorrect Type I error rates in finite sample settings. The impact of different combinations size, number clusters, intraclass correlation coefficient (ICC), an...

2015
Eirik Johan Skeie Jan Arve Borge Charlotte Leboeuf-Yde Jenni Bolton Niels Wedderkopp

BACKGROUND Ultrasound is frequently used to measure activity in the lumbar multifidus muscle (LMM). However previous reliability studies on diagnostic ultrasound and LMM have included a limited number of subjects and few have used Bland-Altman's Limits of Agreement (LOA). Further one does not know if activity affects the subjects' ability to contract the LMM. METHODS From January 2012 to Dece...

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