Your English writing platform
Discover LudwigSuggestions(2)
Exact(12)
In total the intensity profiles for 32 slow deaths (16 blebbinon-blebbingebbing) and 16 fast deaths were analyzed.
Deaths were analyzed for all causes, cancer (ICD-9 codes 140 208, e.g., lung cancer, colon cancer, breast cancer), and cardiovascular disease (ICD-9 codes 390 448, e.g., ischemic heart disease, cerebrovascular diseases, hypertension).
These deaths were analyzed separately.
In-hospital and out-of-hospital deaths were analyzed separately.
A total of 2704 male deaths were analyzed.
Three categories of deaths were analyzed: total nonaccidental; cardiovascular; and cardiovascular plus respiratory.
Similar(48)
The competing influence of other causes of mortality, such as death due to a second primary tumor or noncancer deaths, was analyzed by competing risk regression model using STATA version 12 (StataCorp. TX).
Cells were harvested, and the levels of cell death were analyzed by flow cytometry (f).
Risk factors for death were analyzed by backward stepwise logistic regression.
ICU mortality was the primary outcome, and adjusted hazard ratios (HR) of death were analyzed by multivariate Cox model.
The last interviews before death were analyzed.
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