Your English writing platform
Discover LudwigExact(4)
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.
To account for cluster sampling and sample weight of the DHS [ 24], a complex sample analysis method was deemed appropriate for a more precise estimation of proportion and association [ 25].
The sample size was calculated based on the formula for estimation of proportion, using a 63.3% prevalence rate of dental caries among 12-year-old schoolchildren in southern Brazil [ 12], a 95% confidence level and a 5% tolerable error.
Similar(56)
Analysis was carried out in SPSS version 16 for windows and involved the estimation of proportions.
To calculate the sample size for the seroprevalence study, we applied the estimation of proportions model for infinite populations.
Regarding the required precision for the estimation of proportions, we decided that the margin of error (the half-width of the 95% CI) required should be at most 7.5%.
In brief it provides a large sample approximation for the estimation of proportions and their standard errors assuming a normal distribution for the underlying population with parameters obtained from the data.
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).
When comparing two experimental treatments with a placebo, we focus our attention on interval estimation of the proportion ratio (PR) of patient responses under a three-period crossover design.
The assay detected the 292K mutant in the mixture at a proportion of 2% of the 10 copies/reaction, and correct estimation of its proportion ranged from 10%to98%8% (Technical Appendix).
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com