A bootstrap percentile method and a normal approximation method perform well for two weights when used without bias correction. Taking both coverage and lengths of CIs into consideration, a non-bias-corrected percentile method with an unweighted estimator performs best.doi:10.1080/00949650802221180...
Weights were truncated at the 99.5th percentile. We used a nonparametric bootstrap with 500 samples to appropriately compute the 95% confidence intervals (CIs) for the HR and cumulative incidence estimates from the expanded data set. All analyses were conducted using SAS software, version 9.4 (...
analyses. Because the three proportions sum to 1 and cannot be compared directly in a single analysis, we conducted 3 separate moderation analyses using Hayes’s (2013) PROCESS bootstrapping command (Model 1: 5000 iterations). Also, because the proportion data violated the assumptions of normality...
If we re-express our results as the predicted odds ratio that would have been obtained had the results been adjusted for VAT mass, for the ≥90th percentile of PCB-153 serum concentration, we get 6.60 (95% CI 2.46–17.74) (for an explanation of the method of re-expression see Ruark ...
Among all approaches, bias corrected and accelerated (BCa) can be an attractive choice as it corrects the bias and skewness of the distribution. In this manuscript, we have performed comparison of highly variable dissolution data using various software's by adopting percentile and BCa CI approaches...