Since risk factors seldom occur in isolation, modelling a risk score by using a set of established risk factors is essential [ 26].
And is signing up to an untested model a risk worth taking?
When applied in the Poisson model, a risk profile reasonably close to the standard lognormal profile is obtained.
In most current research on intelligent network simulation model, a risk strategy is typically adopted to handle the risk of network uncertainty [23, 24, 25, 26, 27, 28].
In the standard LEN model, a risk neutral principal (which we interpret in the following as corporate shareholders) hires a risk and effort averse agent (a corporate manager) to run operations by providing unobservable costly effort, a.
There was an increase of 67% in incidence per increase of one model B risk decile, holding model A risk decile constant.
It is clear from Table 4 that, within most model A risk deciles, there are important differences in estimated incidence according to model B risk decile (often twofold).
In these very attractive models, a risk score is simply estimated by adding several integer coefficients for certain clinical evidence.
From the cross-classification of risk decile model A × risk decile model B, we then compared the observed number of cases in specific risk deciles of model B with the expected number of cases within strata defined by model A risk decile.
