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Using a rigorous mathematical, computational approach to size hybrid GSHP systems recently published in Alavy et al. (2013), the use of sensitivity analyses has allowed for a better determination of the impact that variations in input parameters have on the performance of GSHPs.
In this case, researchers would need to make use of sensitivity analyses, the details of which are outlined in Rubin (1986).
Furthermore, as recommended, the statistical methods, missing data reporting, and use of sensitivity analyses were judged.
The use of sensitivity analyses in these situations would also improve the generalisability of the findings.
Overall, the point prevalent use of sensitivity analyses is about 26.7% (36/135) —which seems very low.
Our use of sensitivity analyses to check whether our conclusions are affected by variations in definitions will also be a feature of our analyses.
Similar(49)
Uncertainties surrounding input parameters were addressed using appropriate types of sensitivity analyses in some studies, thus improving credibility and robustness of the reported results.
In our analyses we have explored the ivabradine treatment effect using a range of sensitivity analyses.
We looked for any confounding factors in the combined patient cohorts using a series of sensitivity analyses, which are summarized in Supplementary Table 3.
A subsequent study, using the same methodological assumptions, that evaluated the cost-effectiveness of a mass media campaign to prevent the uptake of smoking among young people, found using a range of sensitivity analyses compared to no intervention that the cost per QALY was never more than £1,142 per QALY (2009 2010 prices) [ 6].
95% CI is often used for similar exercises of sensitivity analyses, but we set wider range for the applicability of the clinical trial data to Japanese women.
More suggestions(15)
use of mediation analyses
use of computer analyses
use of sensitivity readers
use of correlation analyses
use of motif analyses
use of surface analyses
use of constraint analyses
use of chemical analyses
use of subgroup analyses
use of regression analyses
use of precedence analyses
use of chromatin analyses
use of sensitivity functions
use of text analyses
use of regulon analyses
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