Your English writing platform
Discover LudwigSuggestions(5)
Exact(53)
Non-mucormycosis hospitalizations ("non-cases") were propensity-score matched to cases 3 1.
Controls were matched to cases by age (±2 years), gender, and year of presentation.
Hospital controls were individually matched to cases on age and sex.
Controls were frequency matched to cases on gender, age, and hospital.
Controls were frequency matched to cases by 5-year age range and race.
Controls (n = 93) were frequency matched to cases (n = 100) based on race (Black or White) and age.
Similar(7)
Controls were frequency-matched to cases on age (±3 years), sex, and study center.
Controls were frequency-matched to cases by study center, race, age, and sex.
Controls were age and race frequency-matched to cases.
These were sex and age-matched to cases where possible.
Controls were category age-matched to cases in all instances.
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