The methods for proportioning anchor shear reinforcement are summarized in Petersen and Zhao (2013).
Yes No. Descriptive statistics were computed using standard methods for proportions and means, and the chi-square (or Fisher's exact) test was used to determine whether there was a significant association between categorical variables.
To evaluate the diagnostic performances of the PetCO2 testing, sensitivity, specificity, positive and negative predictive values and their 95% confidence intervals (CI) were calculated according to standard methods for proportions.
We pooled prevalence of disease (CIN2+) by screening test (VIA, VILI, or HPV testing), geographical region, study group (GSA or GSP), and positivity rate (proportion of screen positive women in the study population) of each screening test by study group using random effects meta-analytical methods for proportions with arcsine transformation.
For the main parameters, 95% confidence intervals (CIs) of point estimates were calculated using normal approximation for quantitative data and exact binomial distribution (Clopper-Pearson method) for proportions.
At one site (Ottawa) during 2009 there was a significantly higher incidence of G9P[8] and a lower proportion of G1P[8] genotypes (Table 1; 95% CI, modified Wald method for proportions).
For the main parameters, 95% confidence intervals (95% CIs) of point estimates were calculated using normal approximation for quantitative data and exact binomial distribution (Clopper Pearson method) for proportions.
The 95% confidence intervals for the proportion of people who received vaccinations were calculated using the 'exact' (Clopper Pearson) method for proportions and an equivalence test for the binomial proportion was performed to assess whether the uptake of vaccinations found in this study was statistically significantly different compared with that reported by the DOH in England.
The difference in the proportion and 95% confidence intervals were calculated using exact methods for binomial proportions and a two-sided p value was presented.
Confidence intervals for the chlamydia prevalence and 95% confidence intervals were estimated using exact methods for binomial proportions.
