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To further explore seasonality we used a binomial response regression model.

Threat category was modeled as a binomial response variable; with LC species assigned a score of 0, and VU, EN & CR species assigned a 1.

To analyze the proportion of survivors from different studies, we used binomial response generalized linear models.

A logistic regression model was used for binomial response subgroups and GLM models using Gaussian family were employed for subgroups with continuous response in order to determine cytokine profiles.

Thus, Equations (1) and (2) define generalised linear models for determinants of human rights with binomial response and logit link [ 43, 44].

Nestling mortality and recruitment (binary responses) were analysed using generalized linear mixed models with binomial errors and logit link.

Bayesian geostatistical binomial and negative binomial models with zero inflation were fitted for sporozoite rates (SRs) and mosquito density, respectively.

We used negative binomial model for count component and binomial model with logit link for hurdle component.

*Multivariable multilevel negative binomial regression model with a random intercept for ward.

Finally, generalized linear models for the Negative Binomial response are available.

Alternatives based on generalized linear models for the Negative Binomial response are also available.

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