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Because MAXENT output is continuous, a threshold must be selected in order to create a binary distribution model where all pixels are either predicted as present or absent (or suitable/unsuitable).
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We applied a GzLMM model with a binary distribution and a logit link function to compare the presence (one or more) or absence (zero) of wasp eggs in the Spiroplasma-infected and Spiroplasma-free fly larvae.
We fit Poisson regression models assuming a binary distribution and a log link to estimate adjusted relative rates and proportions.
Generalised linear mixed models with a binary distribution and logit link were used to analyse the proportion of patients with an MCID on the CCQ and SGRQ questionnaires.
The proportion of the binary variable was estimated using a binary distribution with logit.
For brevity, these models assume that data come from a mixture of two distributions in which the structural zeroes from a binary distribution are mixed with the non-negative integer outcomes from a count distribution.
(C ) Three different nonlinearities that transformed this input distribution into a Gaussian distribution, a uniform distribution, and a binary distribution.
The pattern becomes clearer with a binary distribution map based on minimum presence points.
This is in contrast to the binarizing nonlinearity, which turns the natural input distribution into a binary distribution.
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.
Essentially this was a distribution model, not a content model.
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