Sentence examples for modelling the binary from inspiring English sources

We took a logistic linear regression approach, modelling the binary methylation state (either methylated or unmethylated) of 8,567 CGIs in the oocyte as linear combinations of subsets of binary factors and interaction terms.

Using logistic regression, results from this method were used to model the binary responses of Listeria on surfaces with realistic inoculation levels.

Percent phenotypic variance attributable to a locus was estimated by modeling the binary trait as continuous.

We modelled the binary response variable infection status using a binomial distribution with a logit link function.

Because the dependent variable was binary, logistic regression was used to model the binary outcome, i.e. whether or not a patient received chemotherapy.

Using this cut-point we then modelled the binary outcome of case/non-case of common mental disorder in a logistic multilevel model.

Like Chai and Bailey [ 21] we used the probit link to model the binary component, however a logit link can also be used.

Multilevel logistic regression was used to model the binary outcome, namely whether or not a patient received chemotherapy within 6 months of first admission to any hospital.

For this reason recent articles [ 12] suggest that, rather than modelling the logit-proportions using the normal distribution, one should directly model the binary data using a binomial distribution.

In the first stage, we modeled the binary outcome of "any" versus "zero" doses; and for the second stage we modeled iron dose as a continuous variable, among those receiving iron.

The CMM website published an online report (multilevel modelling software reviews) which compared almost 20 packages for the normal linear model, the binary response model, the ordered category model and the cross-classified model [ 6].