Sentence examples for methodological causes from inspiring English sources

Methodological causes of potential bias were common (e.g. the Broselow tape was not actually used in many studies, but weight-estimates were generated from length data), but these were individually assessed and rated according to the level of risk of systematic bias.

However, methodological causes are possible as well.

This exclusion may have multiple methodological causes (Visser et al., 2010; Lambon Ralph, 2014).

The discordant results are probably based on a combination of methodological causes and content-related reasons.

In order to promote future consensus on how to define, monitor and report compliance, the second goal was to examine conceptual and methodological causes of variability in compliance.

While methodological factors cause variability of the results from epidemiological studies, there is a lack of prevalence rates of mental health problems in children and adolescents according to ICD-10 criteria from nationally representative samples.

Diagnostic group differences in reinforcement effects on cognition have been difficult to interpret because they cannot disentangle differences in reinforcement function from methodological constraints caused by differences in baseline performance [ 9, 16].

The included studies had clinical heterogeneity caused by variability in the participants (age, gender, comorbidities, preoperative ambulatory status), interventions (instrumentation from different manufacturers, different surgeons) and outcomes (selective reporting, data deficiency), and methodological heterogeneity caused by variability in study design and RoB.

Given that the investigation of cortisol secretion is associated with methodological problems causing a high proportion of false positive results [ 17], that cortisol levels may vary over time [ 18], and the questionable benefit of performing adrenalectomy in patients with SCS [ 19], conservative treatment may be a better strategy.

Tract-based spatial statistics offers several advantages over standard voxel-based analytic techniques, particularly relevant to longitudinal analyses, as it removes the need for spatial smoothing and minimizes the methodological pitfalls caused by misalignment and misregistration, consequently increasing the sensitivity and interpretability of findings.

Carefully planned and well-executed RCTs give us the best estimates of treatment effect and can thus guide clinical decision making [ 2, 3], although trials that lack methodological rigor cause over- or underestimation of treatment effect sizes due to bias [ 4- 6].