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We notice that the relative errors of the mixed model are all less than 5% except crowndaisy chrysanthemum, the errors of the warning model are all <0.05.
Parameter estimates and the associated statistics of the linear mixed model are presented in Table 4, along with the fit statistics.
Regression coefficients for the mixed model are presented in Table 3. Examination of redox parameters for Cys redox potential revealed a strong positive association between Eh Cys/CySS and IL-1β (P<0.001).
Marginal R-squared values for each linear mixed model are shown for each parameter.
The main benefits of the joint latent class mixed model are three-fold.
More details on the linear mixed model are given in the Data S1 (Supporting information).
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So the mixed model is superior to each sub-model.
A mixed model was used to evaluate the predictor variables.
A mixed model is also likely.
The mixed model is used since CEL files are random factors.
To analyze data from human plasma, a linear mixed model was used.
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