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We then modelled the probability of a variable changing its position in the predictor ranking obtained in HP.
We modelled the probability of position change (%, dependent variable) as a function of seven explanatory variables (fixed effects) accounting for the number of variables (10 12) and for differences in amount of IVE between explanatory variables (Table 4).
We modelled the probability of a predation event using the events/trials syntax for binomial data, i.e. damaged plasticine larvae from preset larvae was the response variable in statistical tests of the bird predation experiment.
The first equation modelled the probability of spending.
Third, we modelled the probability of revascularisation in the first treatment period and suboptimal treatment pathways.
We modelled the probability of a negative growth rate between censuses.
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The other two are large impact of the event and not being able to model the probability of the event.
To model the probability of an individual travelling we fitted logistic regression models to the data.
To combine multiple markers, we used a multivariate normal distribution to model the probability density function (pdf) for each class.
Instead of modeling the probability of "complication" as a dichotomy, this approach models the probability of more than 2 ordered outcome categories simultaneously.
We modeled the probability of a positive virus respiratory sample using a logistic regression model.
More suggestions(15)
models the probability
modelled the book
modelled the cost-effectiveness
modelled the latter
modelled the relationship
modelled the study
modelled the university
modelled the concept
modelled the system
modelled the experience
modelled the noncompliance
modelled the structure
modelled the gold
modelled the body
modelled the necklace
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com