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Non-stochastic sensitivity analysis showed results were most sensitive to changes in intervention costs and first-year treatment effect.
Sensitivity analyses showed that results were most sensitive to the prevalence of HIV in patients receiving TB treatment.
Sensitivity analyses showed cost results were most sensitive to changes in the ICU bed day cost.
Univariate sensitivity analysis showed that results were most sensitive to changes in personnel costs.
A sensitivity analysis showed that infiltration rates were most sensitive to clay hydraulic conductivity, not clay layer thickness.
Sensitivity analyses showed that the results were most sensitive to changes in the simulation time horizon.
Sensitivity analyses showed that the results were most sensitive to changes in discount rate.
One-way sensitivity analyses were conducted to determine which parameters were most sensitive to change in the model.
The results were most sensitive to increases in atmospheric CO2.
Emissions were most sensitive to changes in lagoon pH.
Gram-negative bacteria were most sensitive to ciprofloxacin (86.4%) and ofloxacin (81.2%) (Table 3).
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CEO of Professional Science Editing for Scientists @ prosciediting.com