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This included high-level clinical summaries, outcome summaries, and multiple other tables correlating samples, genes, proteins, miRs, and clinical parameters.
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First, incremental costs and effectiveness should be combined in a summary outcome measure.
In the absence of a summary outcome measure, evaluating sampling uncertainty for the purpose of cost-effectiveness will not be possible.
Summary outcome measures are used by decision-makers to help make policy recommendations on the allocation of resources for competing health care interventions [37].
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.
We planned to combine data from primary studies in a meta-analysis with Review Manager 5 using the risk ratio as a summary outcome measure using a random-effects model if enough studies were retrieved and after significant clinical diversity and substantial statistical heterogeneity were confidently ruled out.
Table 3 presents the summary outcome measures for school absences.
Twenty-three subjective measures and 13 objective measures were used as summary outcome measures.
This encouraged us to create one summary outcome variable describing the occurrence of respiratory disease.
LOS was changed into a binary summary outcome based on the median, i.e. ≤ or >11 days.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com