Sentence examples for estimation of proportion of from inspiring English sources
The estimation of proportion of primary outcome in both groups and magnitude of the non-inferiority margin are motivated as follows.
The estimation of proportion of patients alive after twenty years of follow-up when using the official cause of death was 60.51%, 95% CI [59.11; 61.89] and 61.26, 95% CI [59.85; 62.64] when using the revised cause of death.
Estimation of proportions of patients with AEs and secondary outcomes will be repeated for the following groups: (1) medical/surgical patients, (2) mental health patients, (3) admitted versus discharged patients, (4) children <1 year of age, (5) patients with complex medical conditions and (6) high acuity patients (pedsCTAS 1 and 2).
This allows for an estimation of the proportion of the total effect due to the mediator (the proportion mediated) which is not possible to estimate using controlled effects, given that there as many controlled direct effects as strata of the mediator.
The method is tailored for the joint estimation of the proportion of individuals in the population bearing a sensitive attribute and the proportion of individuals in the sensitive group declaring truthfully their status.
A precision (width of 95% confidence interval [CI]) of approximately ±13% in the estimation of the proportion of participants who gave positive feedback on acceptability, assuming the true proportion was approximately 80%, required a sample size of 32 participants.
Estimation of the proportion of women transferred to hospital lacked robustness across the sensitivity analyses, while estimation of the proportion of women and neonates transferred for foetal distress, postpartum haemorrhage, respiratory problems, and emergency transfers remained more stable (Additional file 3).
Therefore, the constant slope of REE pattern allows for semi-quantitative estimation of mixing proportion of the two major tributaries.
To identify possible sources of heterogeneities in the estimation of the proportion of bilateral cases and of left-sided cases of endometriotic lesions.
The probability design allowed development of cumulative distribution functions (CDFs) to quantify PFOS concentrations versus the sampled population, and the application of fish consumption advisory guidance to the CDFs resulted in an estimation of the proportion of urban rivers and the Great Lakes that exceed human health protection thresholds.
