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Subgroup analyses may be helpful in the context of added predictive value for different reasons.
However, clearly information collected by our analyses may be helpful for other researchers investigating putative hub domains.
The prediction approach we discussed in this work has huge potential in applying to many other host-pathogen systems, and the properties that we have discovered through sequence and topological analyses may be helpful in understanding the host-pathogen PPIN and also provide alternative ways to assess predicted host-pathogen PPIN in a variety of different situations.
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In particular, multiple interventions meta-analyses may be helpful both when a broad class of interventions is synthesised and when broadly similar interventions have different combinations of components.
Cost utility analyses (CUAs) may be helpful to inform decision makers.
For solving this issue, more detailed identification of magnetic grains, for example, electron microscopy and X-ray analyses of magnetic separates may be helpful.
Guidelines such as those developed for economic analyses of vaccination programmes may be helpful to improve the quality of studies [ 89, 90].
Our study suggests that readmission trends in a single institution may be helpful when analysing the severity of epidemics, planning staffing needs, and comparing periods of heightened demand.
If this is suspected, it may be helpful to perform sensitivity analyses to explore how different assumptions about the determinants of non-response influence the conclusions [ 6].
The absence of advertisements for beta-blockers may be helpful, given that recent meta-analyses show less favourable outcomes for beta-blockers (particularly atenolol) than other antihypertensive classes.
Reviews analysing the portrayal of nursing homes in the media may be helpful to assess whether negative reports can affect public perceptions of this setting [ 53].
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