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A negative binomial model was constructed and the value of alpha (a measure of aggregation) was used to describe clustering in susceptible individuals (i.e.aggregation).aggregation
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Negative binomial models were constructed to evaluate the following outcomes: the number of cows that were very dirty, had severe hock injuries, stood with front feet in the stall, stood with all feet in the stall, and were lying in the stall.
Negative binomial models were constructed to compare the number of AHF-related readmissions among all three cohorts, or WRFt vs WRFp, within 30, 180, and 365 days of discharge.
To demonstrate that VF loss and CS are associated with engagement in MVPA in glaucoma and AMD, respectively, negative binomial models were constructed in which each person-day was analyzed as a separate observation and generalized estimating equations were used to account for correlation of physical activity measures across different study days of the same subject.
The model was constructed with binomial variance distributed according to a logistic function IPNV = [1 + exp] 1.
Negative binomial regression models were constructed to test associations between generic E. coli (MPN/100 mL) in water from farms and variables.
Then, multivariable, multilevel binomial logistic regression models were constructed with a manual backward stepwise approach, with a random intercept for hospital to account for clustering of observations from the same hospital and with a shrinkage factor to allow for inclusion of hospitals with small sample size.
Three models were constructed.
A binomial model was used for the probability of encountering terns, and a negative binomial was used for the number of terns if encountered.
The beta binomial model was used to account for over-dispersion.
In particular, random parameter negative binomial model was used to investigate pedestrian crashes.
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