Significados de use random en inglés

While studying the random-number-generating process, Kauffman came up with a unique way to use random numbers to encrypt data.

These tools use random sampling techniques that are inefficient for capturing underlying heterogeneity while health facility data in resource-limited settings are inaccurate.

We used random-effects metaanalysis to calculate confidence intervals for pooled mean differences.

The primary outcome was pain scores Meta-analysis was performed using random-effect model.

According to him, CHILD uses random numbers to decide whom to survey.

Group differences in mental health outcomes were assessed using random effects meta-analyses.

Where data allowed, we performed meta-analysis and pooled results using random effects models.

We then produced pooled estimates across studies using random effects meta-analyses.

Weighted mean differences in BP were estimated using random effect models.

Median values were obtained for each estimate using random effects meta-analysis.

We derived meta-analytic estimates using random-effects models, taking into account correlations between estimates.

Pooled analysis of susceptible isolates was conducted using random effects models.

Analyses were conducted initially at study level and then combined using random-effects meta-analysis.

The adsorption process is modeled by using random sequential adsorption algorithm.

Models were run for each county and results were combined using random effects meta-analysis.

Hedges' g and its 95% confidence intervals were calculated using random-effect models.