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In case there are readers who think I am overstating the case, consider the ever-present issue of outcomes assessment -- measuring student performance.
In an effort to address the issue of outcomes reporting in pediatric trials, an interdisciplinary team of researchers at the University of Alberta developed the PORTal (Primary Outcomes Reporting in Trials) initiative.
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Generalized linear regression models (GLM) are flexible to model skewed expenditure data and avoid the issue of outcome transformation [ 27].
The issue of outcome evaluation was not considered relevant for the present review, as it is an aspect of studies rather than programs.
However, while the reviewers agree that the study has improved after revision the issue of outcome-specificity is still not resolved.
We focused on medical reviews instead of other reviews because the FDA medical reviews are, as we learned during pilot-testing of data extraction, most likely the review documents where the FDA reviewers address the issue of outcome selection.
When the issue of outcome by week of gestation is the primary outcome to be examined, careful choice of the appropriate denominator is paramount as demonstrated both in the work on stillbirth and induction of labor [ 7, 25] However, in the setting of interventional trials, this is less important.
Broader issues of outcomes such as productivity loss or intangible benefits may show differences between the two drugs that were not captured in our analysis.
What we argue for is the creation of a culture that is both transparent and constantly grappling with the issues of outcome measurement.
Is the sample size sufficient and well constructed to address issues of chance outcomes?
There were issues around the measurement of outcomes and resource use.
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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