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Here we investigate both the conservation of network architectural properties across methodological variation and the reproducibility of individual architecture across multiple scanning sessions.
There is limited empirical data, significant methodological variation, and results cannot easily be divorced from subjective interpretation.
Comparisons with other studies [ 3] led to the sobering conclusion that prevalence estimates strongly differ due to methodological variation and sparked initiatives for greater standardization.
Allowing for the important caveats of methodological variation and intrinsic biological heterogeneity, our findings suggest a potential unifying explanation for these apparent disparities in previous work: Huntington's disease modulates activity across a predominantly extrastriatal but distributed emotion processing network.
Inter-study disagreement on the role of WHR in female attractiveness and the relative importance of WHR and BMI arguably results from methodological variation and weaknesses, including the use of schematic silhouette drawings of a poor realism or of photographs of real women without having controlled for all of the confounders.
Therefore, in patients with 'normal' AFP levels (≤10 ng ml−1), even small increases during monitoring deserve attention, because they may reflect a biological rather than a methodological variation and this new concept could change the general opinion that many HCCs 'do not produce' AFP.
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Future research could advance this line of inquiry by using other methods of analyses (e.g., area under the curve; AUC), in order to better understand the effects of methodological variations and their implications for research design.
Conflicting findings across studies might be explained by methodological variations and by particular characteristics of the studied populations.
We recommend conducting further comparisons among multi-morbidity data using agreed-upon standards for the definition of chronic conditions and the way to count multi-morbidity, in order to assess the impact of these methodological variations and enhance our understanding of multi-morbidity.
Nevertheless, methodological variation between sites and the fact that HDSSs are localised systems that cover only a small proportion of total national populations has somewhat limited the wider utility of HDSS data by national and international researchers and practitioners.
Because methodological variation can dramatically affect results and is common among quantitative syntheses addressing similar questions (e.g., [29], [30]), it is important to evaluate the robustness of meta-analytic conclusions that employ different criteria for selection of studies and different statistical approaches [31], [32].
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