Results 61 to 70 of about 2,459,647 (188)

Correction: Quantifier spreading: Children misled by ostensive cues

Glossa, 2019
This article details a correction to the article É. Kiss, Katalin & Tamás Zétényi. 2017. Quantifier spreading: children misled by ostensive cues. Glossa: A Journal of General Linguistics 2(1). 38.
Katalin É. Kiss, Katalin Mády, Tamás Zétényi   +2 more
doaj   +2 more sources

Experimental Effects and Individual Differences in Linear Mixed Models: Estimating the Relation of Spatial, Object, and Attraction Effects in Visual Attention

Frontiers in Psychology, 2011
Linear mixed models (LMMs) provide a still underused methodological perspective on combining experimental and individual-differences research. Here we illustrate this approach with two-rectangle cueing in visual attention (Egly, Driver, & Rafal, 1994)
Reinhold Kliegl, Ping eWei, Michael Dambacher, Ming Yan, Ming Yan, Xiaolin Zhou   +5 more
doaj   +1 more source

Linear mixed models with endogenous covariates: modeling sequential treatment effects with application to a mobile health study

, 2019
Mobile health is a rapidly developing field in which behavioral treatments are delivered to individuals via wearables or smartphones to facilitate health-related behavior change.
Klasnja, Predrag, Murphy, Susan A., Qian, Tianchen   +2 more
core  

Sample size calculation in multi-centre clinical trials

BMC Medical Research Methodology, 2018
Background Multi-centre randomized controlled clinical trials play an important role in modern evidence-based medicine. Advantages of collecting data from more than one site are numerous, including accelerated recruitment and increased generalisability ...
Markus Harden, Tim Friede
doaj   +1 more source

Mixed oligopoly and spatial agglomeration in quasi-linear city [PDF]

We apply a spatial model that includes both circular-city and linear-city models as special cases to the analysis of location-quantity model in mixed oligopoly.
Daisuke Shimizu, Takeshi Ebina, Toshihiro Matsumura   +2 more
core  

A Penalized Multi-trait Mixed Model for Association Mapping in Pedigree-based GWAS [PDF]

, 2013
In genome-wide association studies (GWAS), penalization is an important approach for identifying genetic markers associated with trait while mixed model is successful in accounting for a complicated dependence structure among samples.
Huang, Jian, Li, Cong, Liu, Jin, Ma, Shuangge, Shi, Xingjie, Yang, Can, Zhao, Hongyu   +6 more
core  

On Empirical Best Linear Unbiased Predictor under s Linear Mixed Model with Correlated Random Effects

Ekonometria, 2020
The problem of small area prediction is considered under a Linear Mixed Model. The article presents a proposal of an empirical best linear unbiased predictor under a model with two correlated random effects.
Małgorzata K. Krzciuk
doaj  

Bayesian Model Comparison in Genetic Association Analysis: Linear Mixed Modeling and SNP Set Testing [PDF]

, 2015
We consider the problems of hypothesis testing and model comparison under a flexible Bayesian linear regression model whose formulation is closely connected with the linear mixed effect model and the parametric models for SNP set analysis in genetic ...
Wen, Xiaoquan
core  

Child weight growth trajectory and its determinants in a sample of Iranian children from birth until 2 years of age

International Journal of Preventive Medicine, 2014
Background: Growth is one of the most important indices in child health. The best and most effective way to investigate child health is measuring the physical growth indices such as weight, height and head circumference.
Sayed-Mohsen Hosseini, Mohamad-Reza Maracy, Sheida Sarrafzade, Roya Kelishadi   +3 more
doaj  

Bayes factor for linear mixed model in genetic association studies

Quantitative Biology
Bayes factor has advantages over p‐value as test statistics for association, particularly when comparing multiple non‐nested alternative models.
Yongtao Guan, Daniel Levy
doaj   +1 more source