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A 2-level (year and commune) binomial negative regression model with fixed-effect coefficients and random-effect intercepts was conducted by using STATA software (version 11.0; StataCorp LP, College Station, TX, USA).
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Poisson or binomial negative regression models will be used to compare count data between the groups while adjusting for potential confounder.
By Vuong test, zero-inflated negative binomial regression model was not significantly better than negative binomial model (z = 1.14, p = 0.128), thus negative binomial model was chosen.
Diagnostic tests revealed that a negative binomial regression model was more appropriate than a regular Poisson model or zero-inflated negative binomial modelg.
The study evaluated consumption intensity of leafy AIVs using the zero-inflated negative binomial regression model.
The negative binomial regression model and multinomial logit model were used to analyze trip generation and travel mode, respectively.
Negative binomial regression model was found to be more suitable to identify the variables contributing to road crashes.
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.
A great deal of work regarding model building for ANC service visits of pregnant women data has been based on the negative binomial regression model.
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