In Section 2, we derive the sublimation temperature as a function of the latent heat.
The time of phase transition is a function of the latent heat.
We determined the critical tracing probability pc * as a function of the latent period for three values of R 0 pre (1.5, 2, and 3).
The effect of a delay in each tracing step was studied by determining the critical tracing probability pc * for R 0 pre = 1.5, as a function of the latent period and tracing delay.
In IRT, there is no single estimate of reliability, because measurement precision varies as a function of the latent trait.
An alternative analysis consists in using IRT models, in which the responses to the items are modelled as a function of a latent variable.
In this approach of modeling G × E we choose to model σE2 and σC2 as a function of a latent A factor.
In the Rasch model [ 8], the responses to the items are modelled as a function of a latent variable representing the so-called ability of a patient measured by the questionnaire (e.g. QoL, anxiety, fatigue…).
IRT comprises a group of parametric and non-parametric models expressing the probability of a particular response to a scale item as a function of the latent trait of the individual and of characteristics of the item [ 14].
Figures 2(a) and 2(b) showed the predicted probability as a function of the latent PLS scores, with one and two gene components incorporated into regression for HER2-enriched and basal-like subtype classifier, respectively.
