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We used a binary dependent variable model in order to force a choice.
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A binary choice model is used considering a binary dependent variable that differentiates a hotspot from a safe site set by the number of crashes per year per kilometre.
Each item was used as a binary dependent variable in different models.
We used a binary logistic regression model with the QTc interval as dependent outcome and arsenic concentration as the predictor of interest.
After that, it was used a binary logistic regression model, in which the request for the service is the dependent variable and the other requests are explanatory variables.
The dependent measure was the dichotomous outcome of hard or easy task choice, and we used a binary logistic distribution to model the probability of choosing the hard-task.
We used a binary scale (yes/no).
For six-month mortality, we used a binary indicator.
As confirmation, we used a binary logistic regression model.
We used a binary score for each lifestyle factor.
The statistical significance of differences in CD incidence rates was determined with a logistic regression model using CD as a binary dependent variable and the year of diagnosis as an explanatory covariate.
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