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Discover LudwigThe phrase "uncertainty of need" is correct and usable in written English.
It can be used in contexts where there is doubt or ambiguity regarding the necessity for something, such as in discussions about resource allocation or decision-making. Example: "The uncertainty of need for additional staff has led to delays in the hiring process."
Exact(1)
Illness perceptions and concerns such as stigma, career impact of care-seeking, eligibility for later benefits, confidence in care provision, uncertainty of need, etc, can influence care-seeking; 26 we did not measure these factors.
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This is despite the uncertainty about the timing of delivery and despite the uncertainty of the need for specialist neonatal care if the infant does deliver during this admission.
In the second stage, as what has been declared in the last section, the uncertainty of temperature needs to be considered by giving a probabilistic forecast on the hourly temperature in 2015.
We use the framework to discuss issues relevant to the development and use of the polio vaccine stockpile, including capacity constraints, production and filling delays, risks associated with the stockpile, dynamics and uncertainty of vaccine needs, issues of funding, location, and serotype dependent behavior, and the implications of likely changes over time that might occur.
In a world of uncertainty you need rules of thumb, called heuristics.
Within this network, the operation of any methodology, and sources of uncertainty, need to be well-known and spurious (or un-necessary) information removed.
The combined use of rule-based representation and probability makes PBN appealing for large-scale modelling of biological networks where degrees of uncertainty need to be considered.
Reliability-based design optimization (RBDO) dealing with variation of output induced by uncertainty of design variables needs computationally expensive reliability analysis to calculate failure probability.
The uncertainty of anticipated resource needs and program costs to input uncertainty was determined using Monte Carlo simulations.
This systematic consideration of 'negative' outcomes data may be helpful for other healthcare contexts where the inherent uncertainty of statistical estimates needs to be taken into account when evaluating whether an ostensibly 'poor outcome' reflects an underlying problem with service performance or not.
Multiple sources of uncertainty need to be combined in the same way as their underlying point estimates – additively, multiplicatively, or otherwise – as demonstrated in a further example.
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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