Your English writing platform
Discover LudwigSuggestions(5)
Exact(56)
First, an unadjusted log binomial regression model was performed by regressing the prevalence of metabolic syndrome on prior service.
The study evaluated consumption intensity of leafy AIVs using the zero-inflated negative binomial regression model.
Negative binomial regression model was found to be more suitable to identify the variables contributing to road crashes.
The negative binomial regression model and multinomial logit model were used to analyze trip generation and travel mode, respectively.
This study used bootstrap resampling to conduct an internal validation of a negative binomial regression model on Lyme disease incidence.
One possibility is to simply count the number of assets and fit a negative binomial regression model.
Chang and Chen [13] analyzed national freeway-1 data from Taiwan using CART and negative binomial regression model.
Similar(4)
The Beta-Binomial regression model performed 'best' among all models.
For this purpose, a log-binomial regression model was fitted.
aadjusted for age group and sex in a log-binomial regression model.
A logistic beta-binomial regression model was used to analyze prevalence rates within mougataas.
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