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The binomial distribution was selected in order to account for the increasing probability of detecting a positive case with the increasing number of animals tested.
Due to survival being binary data, the binomial distribution was selected with a logit link function, and models were fitted using the Laplace approximation.
The negative binomial distribution was selected for all outcomes, based on its fit with the observed distribution of health services use.
We used a generalized linear model (GLM) with a negative binomial distribution in SAS (PROC GLM); because of overdispersion in the number of anthrax cases (ratio of the mean/variance was > 1) a negative binomial distribution was selected over a Poisson distribution.
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A negative-binomial distribution was selected to allow for over-dispersion of suicide rates about the mean.
The Beta distribution was selected for binomial data.
(The glm model with Poisson distribution was selected after comparing different models, including negative binomial regression, using the Akaike information criterion).
Rather, the actuation distribution is selected "blindly".
Binomial, Poisson, or Negative Binomial error distributions were selected for final models after comparisons for goodness of fit.
Negative binomial distribution was used for curve fitting.
A binomial distribution was adopted as the error distribution with a logit link function.
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