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A one sample binomial design was used to determine the sample size.
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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.
A Bernoulli (binomial) distribution was used for presence/absence models and a Poisson distribution for count models.
Negative binomial distribution was used for curve fitting.
Negative binomial regression was used to determine the factors associated with acute respiratory episodes.
A binomial test was used to check this assumption.
A binomial distribution was used.
Log binomial regression was used to calculate adjusted PRs.
A negative binomial regression was used due to over dispersion.
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