Your English writing platform
Discover LudwigSuggestions(5)
Exact(23)
*Multivariable multilevel negative binomial regression model with a random intercept for ward.
We used a Negative Binomial regression model, with the GENMOD procedure from SAS software.
*Multilevel negative binomial regression model with a random intercept for ward.
To account for over-dispersion of count data, we used a negative binomial regression model with robust standard errors.
In order to account for clustering (repeated measurement) a negative binomial regression model with robust sandwich estimators was performed.
The slopes and intercepts for the risk levels were generated using a binomial regression model with an identity link function as described previously [ 35].
Similar(37)
In the empirical analysis, we use panel data and negative binomial regression models with fixed effects.
Binary outcomes were analysed using log binomial regression models, with treatment effects expressed as relative risks.
We analysed binary outcomes by using log binomial regression models, with treatment effects expressed as relative risks.
Negative binomial regression models with a random intercept for abattoir were generally outperforming the random intercept Poisson regression models, with respect to the AIC and BIC.
Given the skewed nature of the cost distribution, we used negative binomial regression models with a linear link function that provided absolute values in CHF as estimates.
More suggestions(2)
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