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A likelihood-ratio test was used for models' comparison, to identify the model fitting best.
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Table 2 Base input parameters used for model comparison Parameter Value Wellbore radius, m 0.15 Fracture length, m 0.15 Minimum horizontal stress, MPa 24.82 Maximum horizontal stress, MPa 20.68 Pore pressure, MPa 12.41 Fracture toughness, MPa-m0.5 2.2 Tensile strength, MPa 15 Rock permeability, mD 1 Mudcake permeability, mD 0.01.
The other two models were solely used for model comparison.
The Bayes factor was used for model comparison to determine which model yielded the best results.
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The likelihood ratio test was used for model comparison.
Deviance Information Criterion DICC) was used for model comparison [ 26], with standard thresholds to determine strength of evidence.
Linear multiple regression analysis was used for model comparison in relation to quality of life outcomes (after checks for multicollinearity).
We have also shown that the same framework can easily be used for model comparison (see Additional file 1).
The Bayesian information criterion (BIC), Akaike's information criterion (AIC) and adjusted pseudo R, were used for model comparison.
Note that the hyperparameters do not need to be marginalized over as in traditional Bayesian model selection, since separate data are used for model comparison in our application.
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