Sentence examples for studies were weighted from inspiring English sources

In calculating the overall mean difference across the combined studies, results from individual studies were weighted, assigning the weights using two standard approaches: a fixed effects model and a random effects model.

Prevalence estimates from NHANES studies were weighted, except where noted or when small sample sizes made weighting estimates unstable; 95% CIs were calculated using the Wilson score method.

The primary pooled analysis of all the reports was conducted using the Generic Inverse Variance method using random effects weighting 57 where the log RRs for cohort studies or log ORs for case control studies were weighted by the inverse of the variance to obtain a pooled RR estimate.

In addition, the included studies were weighted according to the magnitude of the respective standard error (SE).

All studies were weighted equally, because heterogeneity in risks due to factors such as study design and follow-up, setting, clinical spectrum of patients at baseline and median progression rates was much greater than sampling errors.

Studies were weighted using random effects analysis.

Studies are weighted by the inverse of the variance of the outcome parameter of test accuracy.

Furthermore, sensitivity and specificity estimates were calculated using statistical analyses in which the individual studies are weighted by number of included participants [ 18].

Because microarray studies are weighted toward high expression genes, these approaches, particularly pathways and TRE analysis can identify effects due to low expression genes such as transcription factors whose expression may be too low to be detected with the microarray.

In the San Luis Valley study a combination of symptoms, neurological deficits, and vibration perception threshold was used (11), whereas in the German study a combination of the Michigan Neuropathy Screening Instrument, a symptom, and brief neurological examination was used (12); both studies are weighted toward large-fiber dysfunction.

The summary statistics from each study can be combined using a variety of meta-analytical methods, which are classified as fixed-effect models in which studies are weighted according to the amount of information they contain, or random-effects models, which incorporate an estimate of between-study variation (heterogeneity) in the weighting.