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The effects are controlling for the other effects in the models.
Therefore, it is significant and of prime importance to introduce random effects in the models.
Area average distance to closest provider of screening services and its square do not have statistically significant effects in the models.
We used restricted maximum likelihood (REML) [14] estimation to estimate the parameters of the fixed effects and the random effects in the models.
To allow for an adequate interpretation of the interactions effects in the models, we additionally calculate conditional marginal effects and marginal effect plots for continuous predictors (Royston 2013).
For Benchmark D, the incorporation of thermal effects in the models plays a less important role than the effusion rate, initial viscosity, and gravity.
Similar(24)
Effects such as row, column, and exposure run were added as random effects in the model.
In column 3, we include MSA Metropolitan Statistical Areaa) fixed effects in the model.
Several approaches have been developed to incorporate these effects in the model formulation.
Analysis of covariance models with baseline clinical measurement groups as the main effects in the model were used.
Table 4, Panel B shows the regression results including just the variable StB with fixed effects in the model.
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