Sentence examples for model assuming homogeneity from inspiring English sources
The individual HR estimates were combined into an overall HR using Peto's method (Yusuf et al, 1985), which consisted of using a fixed effect model assuming homogeneity of the individual true HRs.
Such models assume homogeneity over membrane cross-sections, which is practically hard to achieve in membrane capsules due to large length-to-width ratios.
The fixed-effects model uses the Mantel–Haenszel method assuming homogeneity among the studies, whereas the random-effects model uses the DerSimonian and Laird method, incorporating both a within-study and an additive between-studies component of variance when there is between-study heterogeneity (Egger et al. 2001).
Indeed, when the set of environments analyzed had moderate or high positive correlations, the M×E model yielded substantial gains in prediction accuracy relative to an across-environment GS model that assumes homogeneity of effects across environments, and, depending on the prediction problem, it either performed similarly or outperformed the stratified (i.e., within-environment) analyses.
As a point of reference our analysis starts with the standard Multinomial Logit (MNL) model that assumes homogeneity of preferences and error variances in our sample.
Assuming homogeneity, a fixed effects model was applied to estimate the intervention effect in the meta-analysis.
LCGA is a type of growth mixture modelling where the variance and covariance estimates for growth factors within each class are fixed to zero, assuming homogeneity within classes.
ensemble averages are based on recording many tracer particles and assuming homogeneity across the sample.
Assuming homogeneity between the included and excluded populations, the age profile of the included population could be estimated.
The POR model does not assume homogeneity of ORs, but merely specifies a relationship between the ORs of the two tests.
Subsequently, the accuracy of aggregation models assuming relative homogeneity and based on small stochasticity (i.e. Wiener process with typical variance 0.01) is questionable.
