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A possible explanation for higher scores could be the different study populations.
First of these may be the different study designs used, as we did not carry out a trial but observed the effect of both spontaneous and induced increases of CPP on PtiO2.
A possible explanation for this could be the different study populations, since the children with BJHS presented multiple joint pains, as opposed to the current pain free children with GJH.
Similar(57)
Of note are the different study contexts.
One of the possible reasons of conflicting results is the different study sample included in the study.
To make the model identifiable, we need a further assumption on how the ξ i 's in the different studies are selected.
A prerequisite for the combination of information in different studies would be that the different studies had used sufficiently similar measures of exposures and outcomes.
This may be due to the different study populations and/or different therapy protocols.
This variation across the studies can be attributed to the different study populations and study methods.
Moreover, no difference in the relationship was detected among the different study periods.
Also, different protocols and reconstruction parameters were used at the different study sites.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com