Your English writing platform
Free sign upSuggestions(2)
Exact(1)
For statistical modeling, the dependent variable was defined as the average number of reported cases of campylobacteriosis per 100,000 people per year.
Similar(59)
Another model that can be used to model the dependent variable with zero values is the hurdle binomial model.
Negative Binomial Regression was used to model the dependent variables as a function of nodal and place-based crime-generating and crime-attracting characteristics of stations.
Cytochrome P450 1activityA2) actisity is log transformed and modeled as the dependent variable for all models.
In both models, the dependent variables are opinions about the roles that the state should play.
In the third and fourth models, the dependent variables were treatment response and full remission, respectively.
In a logit model the dependent variable is determined in terms of probability.
In the case of the outcome model, the dependent variable is whether a farmer has adapted or not to climate change.
In contrast to y-scrambling for QSAR models, the dependent variable in the SALI formalism is a function of the activity and similarity.
In estimating the logit model, the dependent variable is invasion by Prosopis, which takes the value of 1 if a household is invaded and 0 otherwise.
In the first and second models, the dependent variables were MS/P (VAS scores) in the five areas at baseline and follow-up.
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