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Exact(2)
Error-domain model falsification generates a space of possible model instances (combination of parameters), obtains predictions for each of them and then rejects instances that have unlikely differences (residuals) between predictions and measurements.
Such a design is preferable for evaluation of the educational intervention since all participants receive the intervention and the design enables measure of progress across and within groups, including control for possible (although unlikely) differences between groups at the starting time.
Similar(58)
Thus it is unlikely that differences in item content explain the differences in mean scores between the measures.
However, since these results are adjusted for CVD medication, it seems unlikely that differences in early detection account for regional differences in CVD incidence.
Differences in treatment because of socioeconomic status are unlikely, but differences in survival depending on socioeconomic status have been reported (Birch-Johansen et al, 2008).
It is unlikely that differences in underlying disease account for the survival differences we observed between treatment groups.
Low-risk and high-risk cases show a significantly different survival, yet it is unlikely that differences as observed here could guide treatment decisions or follow-up screenings.
It is unlikely that differences in apoptosis induction will be reflected in major differences in patient survival in this group of patients.
It is unlikely that differences in death certification validity and accuracy can explain such large differences.
It is, therefore, very unlikely that differences in utilisation of hormonal therapies will have accounted for observed differences in survival rates.
It is unlikely that differences in technical aspects or inter-observer and laboratory variations explain the differences in the results obtained in Portuguese and Mozambican samples.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com