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Combine confidence conclusions for all study types and multiple outcomes.
After confidence conclusions are developed for a given outcome, conclusions for multiple outcomes are developed.
Finally, confidence conclusions are developed across multiple outcomes for those outcomes that are biologically related.
When outcomes are sufficiently biologically related that they may inform confidence on the overall health outcome, confidence conclusions may be developed in two steps.
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The studies with the highest confidence rating form the basis of the confidence conclusion for each evidence stream.
The central limit theorem tells us that a large set of random observations allows us to draw high-confidence conclusions about the underlying data set.
Therefore, to reach high-confidence conclusions, we evaluated the merits of various network reconstruction algorithms over a wide range of biologically relevant networks.
There's high confidence the conclusions are robust.
Using examples and terms understandable by biologists, we describe how a collaboration between biologists and statisticians can improve reliability of results and confidence in conclusions.
These results give us confidence that conclusions drawn from our IPs are also applicable to unperturbed HEK293T cells.
This engenders greater confidence in conclusions drawn about the chronology of pathological events.
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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