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Traditional approaches (eg, measuring time to first prescription) may mask substantial heterogeneity in technology adoption.
In addition, comparisons of changes in biological diversity between samples adjacent in time (i.e., successive change) may mask substantial shifts in diversity that accumulate over time because short-term reference conditions are used to assess change (i.e., the shifting baseline syndrome) [7].
Furthermore, national-level estimates may mask substantial regional differences in coverage, but regional-level estimates are rarely available.
However, a multiple interventions meta-analysis conducted in this framework may mask substantial heterogeneity within relative treatment effects that may make intervention comparisons unhelpful due to imprecision.
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A falling global saving rate could mask substantial divergence between regions.
Although the national-level averages mask substantial county-level variation, these county-level figures in turn mask considerable differences at the level of neighborhood.
For example, partial volume effects (PVEs) can mask substantial uptake variations in small lesions.
Averages, however, mask substantial disparities, especially between rural and urban areas.
However, national figures invariably mask substantial internal variation, be they geographical, economic, social or rural urban.
This study, using both non-targeted as well as targeted proteomic approaches applied to biofluids and blood cells to elucidate changes in their proteomes induced by extended fasting, revealed substantial between-subject variability which may mask the true biological effect of fasting on the proteome.
If age exerts a substantial influence on the ERP, then this may mask effects of interest when comparing two groups.
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