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Figure 3 summarise the findings of sensitivity analysis on the predicted total program expenditure.
The findings of sensitivity analysis show that the ORs of decreased eGFR and albuminuria for type 2 diabetes were similar (multivariate-adjusted OR: 2.93, 1.12 7.67 for decreased eGFR; 2.34, 1.72 3.19 for albuminuria).
As expected, as early rescreening before 3 years decreases, the costs of the screening program decrease but there is very little impact on effectiveness. Figure 4, 5, 6 summarise the findings of sensitivity analysis on the predicted incremental costs and effects for the 3-yearly screening strategies, compared to current practice for 2-yearly screening.
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To test the robustness of our findings, we ran three types of sensitivity analysis.
The LLM is a more data-driven approach, and it can be seen as a potential validation of the SEM findings, or as a kind of sensitivity analysis.
We have examined the effect of this conditional relationship on the findings of our study by means of sensitivity analysis (data not shown).
Only 2 studies [ 28, 46] did not include some type of sensitivity analysis for their findings.
Results of sensitivity analysis.
One of the interesting findings of the sensitivity analysis of the model was that if the second iron ore supplier had no capacity limitations, and could supply the Company's whole annual needs, a substantial costs reduction could happened.
Figure 3 presents the findings of the sensitivity analysis for the aggregated costs of screening and diagnostic procedures.
The findings of this sensitivity analysis are not presented here but were similar to those of our hierarchical mixed effects analysis.
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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