Your English writing platform
Discover LudwigExact(2)
In the regression model, we modelled the counts of deaths as a function of select individual-level characteristics –age, gender and period using the offset of person years.
The basic modeling approach was a Markov model simulating the likelihood of various events like acute exacerbations, ER visits or hospital admissions, lost school or work days, or deaths as a function of taking or not taking appropriate medications.
Similar(58)
This approach allows one to begin to unravel the underlying molecular and biochemical mechanisms that lead to cell dysfunction and death as a function of mechanical inputs.
We used logistic regression to model MOF death as a function of patient's characteristics.
Kaplan-Meier survival plots were constructed for time to death as a function of each baseline variable.
A Cox regression model for the log hazard of death as a function of a restricted cubic spline for bouts of activity was fit to the data.
A contour plot of the BEP score probability of death as a function of BE and platelet count is shown for quick reference.
A model for risk of death as a function of the factors was constructed using cross-validation and Akaike information criterion (AIC) 24 for model selection.
This approach allows the rate of death as a function of both long- and short-term exposures to be modeled simultaneously.
Finally, we assess the ability of these agents to inhibit cell proliferation and to cause cell death, as a function of pHe.
Using eq 2, the time and concentration dependence of cellular response seen in Figure 2 can be transformed to show % cell death as a function of accumulated dose.
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