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To assess the robustness of the model (M_{25}), the log-likelihood was tracked for each iteration of Gibbs sampling.
To assess the robustness of the model the results were compared with an equivalent analysis using panel probit and Generalized Estimating Equations (GEE 2 specifications.
We took the 5 95th percentiles of IPTW to create a new pseudo-population to assess the robustness of the model.
To assess the robustness of the model, probabilistic sensitivity analysis was performed using Monte Carlo simulations by generating 10,000 second-order iterations of the analysis.
Then, to assess the robustness of the model, a comparison between specific results available from LCA literature and outcomes of the simplified model is presented and analyzed.
In order to assess the robustness of the model to sampling variation, we used data from 2008 and ran twenty additional models with 75% training and 25% test sites that were randomly selected from the original dataset.
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Deterministic sensitivity analyses were performed to assess the robustness of the models to changes in key parameter values.
Once S-KPI models are built, a second campaign is launched in order to assess the robustness of the models in a new set of network situations.
To assess the robustness of the modeling technique, we performed a preliminary sensitivity analysis on the rabbit models by generating perturbed models and comparing activation sequences.
We performed a deterministic univariate sensitivity analysis with the objective of assessing the robustness of the model, and the consistency of the assumptions used in the model.
Additionally, bootstrap model validation was used to assess the robustness of the regression model for its predictability for future data.
More suggestions(18)
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assessed the robustness of the model
evaluated the robustness of the model
assess the fit of the model
assess the robustness of the result
assess the robustness of the controller
assess the robustness of the method
assess the robustness of the review
assess the accuracy of the model
assess the robustness of the assay
assess the resolution of the model
assess the robustness of the technique
assess the robustness of the approach
assess the uncertainty of the model
assess the adequacy of the model
assess the generalizability of the model
assess the applicability of the model
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