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These somewhat better intrarrater reliabilities compared to those observed here may be explained by differences in settings (i.e., hospital inpatients might be less stable than residents in long term care facilities).
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Thus, the differences in the proportion of childhood TB from both studies and our finding could be partly explained by differences in study settings because we conducted the study in both urban-rural settings, in all DOTS providing health facilities, and we linked TB cases to their true home address to compute the case notifications to avoid under- or over reporting [ 22].
This lack of responsibilities of the ward nurse manager on the TLD wards, and the absence of a parallel to the centralized cluster in the current study, can be explained by differences in time, settings and cultures.
Even with these 'simple' conditions, however, it is clear that differences in image characteristics, caused by differences in reconstruction settings, image filtering and noise levels, can have a pronounced effect on performance of the (semi- automatic delineation methodsemi- automatic although magnitudelineationction of those effects methodsdinvestigatedng (semi-)althoughc delineation magnitude
We used meta-regression analysis to test whether or not differences in effectiveness (which cannot be explained by the differences in settings only) exist between fluoxetine and duloxetine on one hand and venlafaxine and duloxetine on the other.
The comparability between all these studies is limited by differences in the study settings and health care systems resulting in different ICU admission policies and practices.
The poor consensus between the predictions made by each program may be explained in part by differences in their stringency settings; however, it is not clear how to directly normalize MuTect output to that of the other programs.
Importantly, some of this variability can be explained by differences in the user-chosen settings of the CustomSeq™ Algorithm.
We did not find all risks identified by these authors, however, probably due to differences in settings, study designs and outcome definitions.
These wide variations might be explained by differences in the populations studied, epidemiological settings, rate of antimicrobial pretreatment, microbiological workup and definitions of aetiology.
This model was deemed suitable because of the observed differences in settings and populations.
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