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Let us consider a hypothetical case of a very fit and healthy man in his early 20's who has just started an entry level job.
Consider a hypothetical case of a marker that is 2-fold different (1 on the log2 scale) in just 10% of disease samples with zero variability and with 90% of disease samples the same as control group.
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This computation scheme appears in the third row of Table 4. Consider a hypothetical case-control study where the odds ratio is reported, but the CI is not.
In the extract below a nurse assessor (who determines the level of care a person will need after discharge from hospital) was considering a hypothetical case, in which a mother (Mrs Black) wished to go home but her daughter was concerned about the level of risk.
Consider a hypothetical example.
In the case of Argentina, let us consider a hypothetical extreme case.
Or consider a hypothetical security case: In theory, gene drives could be developed to harm populations of commercial animals and plants.
Consider also a hypothetical case in which a routine computerized tomography angiogram turns up no clinically significant stroke warning signs but shows an unrelated nodule in the lung.
Assuming no confounders, that association estimates the effect of C on D via the causal paths C→ E→ D and C→ D. Notice that the paths C→ E (which is part of C→ E→ D) and C→ D also determine the magnitude of confounding bias for the effect of E on D. 2 Next, let us consider a hypothetical unmatched study of 100 cases and 400 controls (k = 4).
Since our main interest is to study the impact of HIV treatment on the reduction of malaria cases, we consider a hypothetical situation where individuals are adherent to HIV treatment.
For example, consider a hypothetical gene K.
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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