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The cross-sectional nature of the present analyses does not allow detection of the causal direction of the association for example whether physical activity might have a longer-term protective effect on mental QoL.
In addition, the use of mortality data in these analyses does not allow assessment of whether benzene exposure influences disease prognosis or incidence; therefore, it is possible that benzene exposures accrued proximate to death could influence mortality rates by reducing survival time rather than by increasing incidence rates.
As with the lack of effect of physical activity on mental QoL, it is possible that the cross-sectional nature of the present analyses does not allow us to detect longer-term deleterious effects that co-morbidities might have on mental QoL.
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Yet both analyses do not allow you to change these other attributes.
As these classical statistical analyses do not allow missing data we are forced to use only subgroups of patients with complete dataset.
Classical population genetics analyses do not allow inferring the direction of migration using molecular data.
The findings reflect the real-life use of TNF inhibitors without the limitations of a clinical trial and allow for a head to head comparison although the inherent limitations of retrospective claims data analyses do not allow for causal conclusions.
Although our analyses do not allow the identification of causal relationships, they provide useful comparisons among the countries and suggest incentive mechanisms for policy makers according to their clusters.
Although this explanation would seem eminently plausible, correlation analyses do not allow causal interpretation.
Their analyses did not allow them to pinpoint the exact taxa that displayed recombination but they were able to isolate the twenty species that contributed most to the result and were therefore most likely to contain recombinant genotypes.
Therefore our evolutionary analyses do not allow us to definitively identify the origin of GLDH.
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CEO of Professional Science Editing for Scientists @ prosciediting.com