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These sorts of studies are generally thought of as hypothesis-generating studies.
Therefore, these studies are generally not independent and lack general predictability.
The raw sequence data generated by large-scale WGS studies are generally multiple terabytes (TB) in size.
Other clinical studies are generally based on conditions reported by rescue and recovery workers.
Contemporary personality studies are generally empirical and based on experiments.
But the studies are generally based on reports from the parents themselves, and some researchers question whether such data are all that meaningful.
Carcinogenicity (potential to cause cancer) studies are generally required if humans will use the drug for longer than six months.
Observational studies are generally not considered as reliable as research in which participants are picked at random to be treated or not, because people who take preventive medications may have underlying differences from those who do not, like healthier lifestyles.
Heathers told me that the problems he's found in Wansink's studies are generally within the numbers themselves: faulty arithmetic, sloppy recording, subsets of data that disappear at times and then "magically reappear" later, and conclusions that reverse-engineer improbable samples.
Such observational studies are generally carried out once a medicine has received approval from regulatory agencies.
Further, as such studies are generally first-in-man, the safety of patients is paramount.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com