Sentence examples for model and mixed from inspiring English sources
In a study of Dutch children, Mook-Kanamori et al., also using the Berkey-Reed model and mixed effects modelling, found that rapid weight gain in the first months was more associated with risk of overweight than catch-up growth ('size at birth and fast growth hypothesis') during the first 2 years (Mook-Kanamori et al., 2011).
According to the random characteristics of simulated objects, stochastic model can be divided into three types; they are discrete model, continuous model, and mixed model, respectively.
In this article, five typical discrete choice models for transport mode split are, respectively, discussed, which includes multinomial logit model, nested logit model (NL), heteroscedastic extreme value model, multinominal probit model and mixed multinomial logit model (MMNL).
The AUCs for the transition model and mixed effects model are 0.83 and 0.81 for men, respectively; for women we obtained AUC values of 0.73 and 0.72, respectively.
Participants were clustered within schools, and complex model and mixed model procedures were used to adjust all standard errors for the effect of clustering.
Variable model estimation consisted of a linear model, logarithmic model, and mixed model depending on which formula was selected for the health-related indicators.
An optimal design strategy for membrane networks separating multicomponent gas mixtures based on an approximate permeator model and mixed-integer nonlinear programming (MINLP) is proposed.
In this paper, an optimal design algorithm for mechanical draft counter flow wet-cooling towers based on the rigorous Poppe model and mixed-integer nonlinear programming (MINLP) is presented.
Two different models, general linear model (GLM) and mixed linear model (MLM), were used to test the associations between the SNPs (MAF > 5 %) and phenotypic variations.
Four types of models, a general linear model (GLM) and mixed linear models (MLM), were selected to test marker-trait associations.
Students will be able to apply generalized linear model, generalized additive models, and mixed effects models to appropriately collected data.
