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Developmental trajectories were estimated using mixed model regression analysis.
Associated data and variables are introduced in the third part, and the fourth part describes and interprets model regression analysis results.
Table 3 summarizes the association between the different case-mix variables, the stages of endometriosis, and surgical outcomes, using the mixed model regression analysis (univariate and multivariate analysis).
In developing the model, regression analysis to fit coefficients of the developed model is compared to the regression analysis results obtained from the experiment of the researchers.
Mixed model regression analysis with a random study effect was used evaluate the effects of experimental design on feed intake and milk production responses.
Within the framework of the proposed model, regression analysis is carried out to approximate the unknown trend of the true function and to determine the order of the universal kriging model, which has a fixed form with a mean structure dependent on the order of model.
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Mixed-model regression analysis was used.
Through multi-model regression analysis, optimum model and its parameters can be chosen to predict the production effect.
Used in the research system analysis, survey, mathematic modeling, regression analysis, linear programming In this paper is the definition of innovative and research competence future engineers.
To verify the proposed models, regression analysis has been conducted on the experimental and predicted solubility of carbon dioxide in ILs.
Mixed-model regression analysis was used to determine the impact of allergy status on malaria incidence, adjusting for age, gender, sickle-cell trait and force of infection.
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