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Health disparities between subgroups may be partially due to differences in lifestyle behaviors such as sedentariness and physical activity.
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The difference between the subgroups may be influenced by the amount of experience working at public sector health facilities where a lack of equipment and medicinal stocks produces a challenging work environment for health professionals.
Furthermore, it has been postulated that the differences between breast cancer subgroups may be due to the fact that they derive from different cells of origin [ 19, 20].
The differences between the H3.3/H3.1 subgroups may be a result of distinct cells of origin for these tumours, or reflect a mechanistic consequence of the type of histone mutated.
Comparison 4 addresses the clinical question "Does treatment effect differ between the g+ and g− subgroups?" However, this analysis is not a randomized study; also, the observed difference between the two subgroups may be associated with a baseline difference in the control arm, Comparison 5.
Associations between maternal smoking and higher-functioning ASD subgroups may be positive, in contrast to those with lower-functioning ASD subgroups, which appeared null.
Certain demographic subgroups may be at higher risk.
The poorer agreement between EV and TTE in the PREM subgroup may be related to the fact that nasal CPAP was the main parameter that affected differences between the methods.
A blinded interim analysis to assure balance between strata and adequate numbers in each subgroup may be done, and a serious imbalance may have to be corrected through pre-selection of patients in the remainder of the study.
The analysis of trends of HLA-DR expression in each subgroup may be better than the analysis of differences between subgroups.
More aggressive treatment strategies in this subgroup may be warranted and deserve further study.
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