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We used a binary distribution, a logit-link function (constraining DSR of nests between 0 and 1), and a variance components-covariance structure for random effects (Appendix 1).
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The proportion of the binary variable was estimated using a binary distribution with logit.
For implantation and live birth, estimates of the odds ratio (OR) were obtained for each quartile compared with the lowest quartile using a binary distribution with a logit link.
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.
To take into account the lakes' distribution only, we used a binary representation of the stroma, assuming a refractive index of 1.33 for the lakes, and 1.376 for the surrounding matrix.
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.
For multivariate analyses, we used a binary logistic regression.
The large differences for the current and future distributions of the Corsican pine depended on the threshold that we used to produce a binary distribution of the pines (see Fig. 4).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com