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Hence, early DCE-MRI studies varied in data acquisition and analysis methods, making comparison difficult and confusing.
Several studies, particularly in developed countries, have determined the prevalence of multimorbidity in a number of different settings using a variety of methods — making comparison difficult [ 4, 18].
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In many cases banks use a combination of these methods, making comparisons between banks difficult.
BACKGROUND Studies examining the etiology-specific effects of diarrheal disease on growth are limited and variable in their analytic methods, making comparisons difficult and priority setting based on these findings challenging.
Previous attempts to measure personal exposure to RF-EMF have used different measurement protocols and analysis methods making comparisons between exposure situations across different study populations very difficult.
Our results could also be explained by differences in image acquisition and processing of the computed tomography scans that were used to obtain the muscle composition measurements; there are no standard methods, making comparisons of the Health ABC and MrOS findings difficult.
The large variability between in vitro corrosion test methods makes comparison between studies increasingly difficult (Johnston et al. 2018).
Data analysis was thematic, using the constant comparison method, making comparison between participants and supported by ATLAS.ti software.
Analytic procedures were based in the constant comparative method, making comparisons at each stage of the analytic process [ 35].
This report describes an implementation of the method, makes comparisons with results obtained previously by a different method, and presents an example calculation using some recently measured membrane properties.
This chapter presents the inferential methods for making comparisons between the parameters of two populations.
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