We used odds ratios (ORs) and hazard ratios (HRs) to estimate effect size.
A meta-analysis was performed to estimate effect size, where sufficient data were available.
A systematic review and random-effects meta-analysis was carried out to estimate effect sizes.
We did not formally estimate sample size as there were no reliable data to estimate effect size in this population.
Addition of an HPV serosurvey to existing models and data has enabled us to estimate effect of different vaccination strategies, optimized to the HPV epidemiology in our population.
Then we define the index of unobservable position based on its RMS amplitude to estimate effect of the unobservable oscillations of mechanical resonances in the positioning control system.
This belabored research process typically begins with pilot trials that we posit have limited benefit, are used inappropriately to estimate effect size [14], and often prematurely concretize a less than optimal intervention.
The aim of the analysis was to describe the feasibility and acceptability of the trial and CaPE intervention and estimate effect sizes for group differences in attitude, adherence, clinical and quality of life outcomes.
To satisfy traditionalists, conventional meta-analytic techniques were used to estimate effect sizes.
As in a previous review [22] of the data, we use per-allele odds ratios to estimate effect sizes.
For each test of association, we repeated the selection procedure on 10,000 random samples and report the bootstrap estimate (effect) and 95% confidence intervals.
