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It utilizes the class of dispersion models as marginal components in the formulation of joint models for correlated data.
Analysis will include distribution of sample characteristics in relation to gestational hypertension and pre-eclampsia in proportions and central tendencies; and their crude associations using mixed models for correlated data.
GEE methods are used to develop regression models for correlated data that arise from repeated measures of the same individuals over time [15 20].
Capacity computation methods that employ K-state Markov models and Gilbert-Elliot (GE) channel models for correlated MIMO channels are presented in [10, 13].
The use of models for correlated binary data to explore composite outcome heterogeneity has some important advantages.
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Several models for correlating the DR behavior of polymer solutions can be found in the literature.
In this work, mathematical models for correlating these machining conditions with wire vibration amplitude and machined kerf width were developed.
Chemometric methods include clustering techniques (to spot differences between samples, detection of outliers, and grouping) and regression models (for correlating NMR measurements to reference data) [ 48]. b.
We used a linear mixed model for correlated data and a generalized linear mixed model for correlated data to compare the morphological modifications of the NMJs between ALS long-term survivors and rapidly progressive ALS patients.
Correlations between CMAP variation during RNS and CMAP amplitude at rest were analyzed with a linear mixed model for correlated data.
As the monthly observations may be correlated over time, we will control for autocorrelation using appropriate adjustments in a generalised least squares model, or a similar model for correlated data [ 33].
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