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For both the distance model and spatially-explicit model, deviance goodness-of-fit tests and overdispersion parameters (values ≠1 conflict with the assumption of binomial distribution) were used to determine whether the sample data followed a binomial distribution, and corrections for overdispersion were applied where needed [31].
Generalized linear models with negative binomial distribution were used to analyze the effect of comorbidities on health care costs.
Chi square tests (comparison to the binomial distribution) were used to analyse the Y-tube olfactometer choice test data.
Generalized estimating equation (GEE) models with binomial distribution were used in the second approach, because they take the dependence observed between two values within a patient into account.
A logit link function and a binomial distribution were used with the total weekly count of PRRSV ELISA tests as the denominator.
A logit link function and a binomial distribution were used with the total weekly count of PRRSV PCR tests used as the denominator.
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Negative binomial distribution was used for curve fitting.
The negative binomial distribution is used commonly throughout biology as a model for overdispersed count data, with attention focused on the negative binomial dispersion parameter, k.
A binomial distribution was used.
The binomial distribution was used to calculate if there was a significant difference in gender distribution.
The negative binomial distribution was used in the GLM models as the Poisson assumption was violated.
More suggestions(11)
binomial test were used
binomial distribution were set
binomial distribution were estimated
binomial distribution were applied
binomial distribution were performed
binomial distribution were specified
binomial regression were used
binomial error were used
binomial family were used
binomial distribution was used
binomial distribution were calculated
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