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If efficacy of fluoxetine is a property of the SSRI class of compounds, then differences in efficacy outcome across the clinical trials are most likely explained by different study populations or methods of study, a question that can only be answered by larger and better-designed studies.
This finding might be explained by different study populations and varying hospital operating standards.
The mixed results of the reviews may, however, be caused by different study populations, heterogeneity of interventions, or a variety of outcomes that have been chosen.
Great variability in perceptions of Christian churches' positions on MC was described by different study populations, ranging from condemning MC as a pagan practice (Rain-Taljaard et al., 2003) to viewing MC as consistent with Christian tradition according to the Bible and Jesus' circumcision status (Lukobo & Bailey, Submitted).
Comparability and generalizability of findings are compromised by different study populations, outcome definitions and diverse and mixed criteria to classify foreign groups (e.g., self-reported ethnicity, woman's country of birth including her parents' country of birth and nationality) as well as different circumstances of health care.
Previous meta-analysis about the prognostic value of PET in Hodgkin's lymphoma or non-Hodgkin's Lymphoma showed no consistent conclusions due to the heterogeneity caused by different study populations, variations of imaging condition, inconsistent imaging interpretation criteria, and lack of uniformed treatment regimens [ 4].
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This can be explained by different studied populations and laboratory techniques, all of which can impact the diagnostic and prognostic power of these tests.
Conclusions about purging effects in our own study were somewhat complicated by differences in the severity of stress experienced by the different study populations in a common environment.
Moreover, this difference could also be explained by the different study populations: prospective cohort studies analyzed only women while all case-control studies except one [ 16] included both men and women.
The identified heterogeneity can also be explained by the different study populations: clustering may be related to social factors specific for nationalities, which may influence the interaction with the native-born population and with those of other nationalities [ 27].
The findings seem to contradict each other and may be explained by the different study populations (healthy versus CP/GOR), the age (infants versus older children) and also by feeds that were not optimally matched.
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by different muscle populations
by different study personnel
by different human populations
by different cell populations
by heterogenous study populations
by different study settings
by different study sections
by different parasitoid populations
by different study teams
by different phagocyte populations
by different study findings
by different study nurses
by different study periods
by small study populations
by different study methodologies
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