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First, incremental costs and effectiveness should be combined in a summary outcome measure.
Summary outcome measures are used by decision-makers to help make policy recommendations on the allocation of resources for competing health care interventions [37].
In the absence of a summary outcome measure, evaluating sampling uncertainty for the purpose of cost-effectiveness will not be possible.
Upon receiving experimental drugs to try on their patients, physicians are told to report serious or unexpected reactions and a summary outcome; however, it is widely known that this is not always done.
These range from no credible assessment of key assumptions and scarce evidence regarding the relative performance of different methods, to lack of reporting of important study elements, such as a summary outcome measure and its associated sampling uncertainty.
As it can be seen, around a third of the economic evaluations included in the review did not report a summary outcome measure, whereas half of the studies failed to report in a precise and transparent manner information relating to sampling uncertainty for cost-effectiveness.
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Parts A, B, and C of these tables reflect summary outcomes for all workers and students, then separately by race and FRL status respectively.
The following summary outcomes variables were derived from accelerometry data: Total overall physical activity, calculated as total accerometery counts over the wear period (counts per min 'cpm'cpm
Table 4 presents summary outcomes measures for ER visits.
Summary outcomes will be presented at the cluster level, using standard measures.
Summary outcomes and synthesis of statistical data were also inappropriate due to heterogeneity.
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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