Sentence examples for methodological features such from inspiring English sources

Third, the study has been designed with attention to methodological features such as randomization, concealed allocation and blinded outcome assessment.

Heterogeneity exists in descriptions of interventions and methodological features such as length of follow-up, outcome measures, and study design [ 10].

Although there were indications that some of these may have contributed to heterogeneity, each study possessed different combinations of both desirable and undesirable methodological features, such that no single factor, other than publication year, consistently increased or decreased RRs.

Systematic reviews of animal studies often lacked methodological features such as specification of a testable hypothesis (9/30, 30%); literature search without language restriction (8/30, 26.6%); assessment of publication bias (5/30, 16.6%), study validity (15/30, 50%) and heterogeneity (10/30, 33.3%); and meta-analysis for quantitative synthesis (12/30, 40%).

The aim of this study was to assess the methodological features of such systematic reviews.

Here we report a systematic review of descriptive studies of medical illnesses in adults admitted to hospitals in sSA between 1950 and 2010 to determine the causes of admission and death and to characterize the methodological features of such studies that are likely to yield useful data in the future.

Larger-scale literature and quantitative reviews have deemed mental health courts as a promising practice, but due to the wide variation in implementation and methodological features of the evalulation such programs, the mental health court model itself has yet to reach the level of an 'evidence-based model' (Sarteschi et al. 2011; Honegger 2015).

While the MaxEnt null model is useful for understanding how ecosystem features such as spatial and temporal heterogeneity can affect network structure, methodological variability across the available data limit the ecological insight that can be drawn from analyses across a broad range of data sets.

According to the methodological features of an observational noninterventional study, all statistical analyses were descriptive, and the presented results should be interpreted as such.

If substantial heterogeneity is found to be present from the analyses detailed above, then reasons for such heterogeneity can be explored by relating study level co-variates (e.g., population, test, reference standard or methodological features) to an accuracy measure, using meta-regression techniques.

This discrepancy may be explained by certain methodological features.