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Following the rules for modelling with binomial errors (according to [34]), we used the cbind function, and we bound together the two above-mentioned vectors of the response variable into a single object y.
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The crime-generating and crime-attracting characteristics of stations are modeled with Negative Binomial Regression analysis.
We always modelled with a binomial link function and a logit error.
For AT or GC skew, the signals were modelled with two binomial distributions in each strand.
Predictors of "Total needs" and "Total unmet needs" were modeled with negative binomial regression.
131 SeqGSEA uses count data modeling with negative binomial distributions to score differential expression and then executes gene set enrichment analysis to achieve biological insights.
Nestling mortality and recruitment (binary responses) were analysed using generalized linear mixed models with binomial errors and logit link.
To investigate the effect of climate and human population variables on Ae. albopictus egg presence, we performed model building with multiple logistic regressions (Generalized linear model with binomial distribution and logit link).
Survival till maturity and offspring sex ratio were analysed by generalized mixed models with binomial error structure and a logit-link, controlled for potential overdispersion by modelling residuals as R-side random effects.
Differences in population prevalence between species were tested with a logistic regression model with binomial error structure applying the GENMOD procedure in SAS/enterprise while estimating the scaling parameter by the square root of DEVIANCE/DOF.
The influence of the explanatory variables on whether the applicant won the concession unit or not was examined using logistic regression model, with binomial errors and logit link function.
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