Your English writing platform
Discover LudwigSuggestions(1)
Exact(4)
The rate was approximately 50% higher for females than in males in the age 50+ population (rate ratio, 1.39; 95% CI, 1.22 to 1.58).
It was approximately 50% higher in females than in males in the age 50+ population (rate ratio 1.39; 95% CI, 1.22 to 1.58).
Because controls were selected among subjects at risk at the ages where each case occurs, all the exponential of the regression parameter estimates can be interpreted as the source population rate ratio estimates [ 24].
This was six times the number of people who consulted their general practitioner with influenza-like illness during the same period (823 consultations/100 000 population, rate ratio (RR)=6.30, 95% CI 6.28 to 6.32).
Similar(56)
In sensitivity analyses, using alternative cut points of 75 enrollments and 150 enrollments per 100 000 population, rate ratios were similar.
This phenomenon is more apparent in the female subpopulation (rate ratios of 2.8, 8.9 and 17.5, respectively), than in the male population (rate ratios of 1.4, 2.8 and 6.4).
Over all time periods combined, the survey-to-population rate ratios indicating the extent of nonresponse bias were 0.65 (95% CI: 0.58, 0.73) among men and 0.74 (95% CI: 0.64, 0.83) among women.
> -wrap-foot> Over the survey years considered, survey-to-population rate ratios for the incidence of alcohol-related harm among men ranged from 0.57 to 0.68, whereas among women these figures were closer to 1.00.
For all years combined, the survey-to-population rate ratios were 0.69 (95% confidence interval: 0.61, 0.76) for the incidence of alcohol-related harm and 0.89 (95% confidence interval: 0.83, 0.96) for all-cause mortality.
Over all time periods combined, the survey-to-population rate ratios for the incidence of alcohol-related harm were 0.65 (95% confidence interval (CI): 0.56, 0.73) among men and 0.76 (95% CI: 0.65, 0.88) among women.
Table 2 describes the overall degree of nonresponse bias in the incidence of alcohol-related harm and all-cause mortality by time period and sex, reporting age-standardized incidence rates of alcohol-related harm, age-standardized rates of all-cause mortality, and the corresponding survey-to-population rate ratios for both of these outcomes.
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