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The calibration of model coefficients was carried out on the basis of tensile tests.
Interpretation of the model coefficients was based on effect estimation rather than hypothesis testing [ 41].
The posterior probability of the model coefficients was analysed to identify variables to be included in the new prognosis score.
The Chi-square value in omnibus tests of model coefficients was determined to be 60.326 (P < 0.05).
According to results of logistic analysis, the Chi-square value in omnibus tests of model coefficients was determined to be 5.827 (P = 0.016 < 0.05).
According to results of logistic analysis, the χ value in omnibus tests of model coefficients was determined as 28.835 (P = 0.000).
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The principal h-d models also vary on how the model coefficients are being interpreted, which is especially important if they are then modelled as smooth functions of predictors.
Many of the VAR model coefficients were not statistically significant.
The MNL model coefficients are difficult to interpret.
The related model coefficients are determined with measurable parameters.
Model coefficients are developed using ordinary least squares (OLS) regression.
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