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Results of these tests provide statistical justifications for selecting the detailed model in Fig. 2 (or summary model in Fig. 1b) to be the best representative model for Abu Dhabi.
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The justification for selecting the Hamiltonian as the preferred observable ultimately lies in the success of the MHI and its ability to solve interpretive difficulties.
KS statistics also provide a lower threshold boundary which provided a quantitative justification for selecting candidates for detailed analysis in later stages of the workflow [ 32].
The justification for selecting MAP is based on pragmatic reasons - MAP is easy and accurate to measure - as well as it being an aggregate index of organ perfusion pressure.
Model 6 and model 0 only differ through the inclusion of T, which was insignificant within model 0, meaning there is justification for selecting model 6 as our best model.
About 84.6% were conducted using a Markov model based on data from clinical trials and 15.3% were analyzed by other economic or cost models; 84.6% reported sensitivity analysis, 11 studies (84.6%) clearly described a justification for selecting the study design, and only 15.3% noted study limitations.
… Step 7 Definition of the Justification Matrix for selecting projects The selection of the projects to be evaluated is determined through a project selection Justification Matrix.
Definition of the Justification Matrix for selecting projects.
Understanding whether physicians use different justifications or explanations for selecting evidence-based, highly supported medical care versus poorly supported, or even contraindicated, care could have substantial implications for reducing the provision of wasteful and potentially dangerous medical care.
Relevant key questions at each stage of drug development are being utilized to move modeling support towards statistical inferences and quantitative analysis providing more direct answers, e.g., for justifications of selected doses.
Moreover, arbitrary thresholds are used for selecting genes from the examined data sets, and the procedure seems to be different for each data set, with little motivation or justification, nor is the robustness of results towards these choices examined".
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com