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Deliberately or unintentionally, such assumptions can make these studies policy-prescriptive.
From a systems biology perspective this will make these studies most useful to other investigators.
Furthermore, the tendency to develop or 'discover' the biomarker patterns using the available data, [17] rather than having a predefined hypothesis as to which biomarkers are likely to be involved, make these studies susceptible to overfitting [15], [16] (i.e., the apparent discrimination is due to chance and results cannot be reproduced in other populations).
Altogether, these issues make these studies extremely cumbersome to perform, especially when analyzing human samples.
The close taxonomical relationship between Cyperaceae and Poaceae could make these studies easier, as has been shown for the species Luzula nivea from the sister family Juncaceae [ 59].
Differences in the methods applied for the analysis (PaO2 stratified in quintiles/deciles, different reference categories) make these studies difficult to compare.
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Self-referral and willingness to pay for a course may make these study outcomes less generalisable for the UK where people do not have to pay, but more generalisable to other health systems in the world.
I have already admitted that these documents are in my writing, and I acknowledge that I made these studies to equip myself for the role which I might have to play if the struggle drifted into guerrilla warfare.
"That makes these studies somewhat alarming as I doubt that anyone would have suspected that common painkillers would have these effects.
We contend that the community making these studies has inappropriately assumed that many 137Cs measurements are required and hence estimates of net soil redistribution can only be made at the field scale.
However, the complexity of the niche makes these studies quite challenging and difficult.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com