Strengths of the simulation model presented in this study include the clinical relevance of the model, which captures the situation faced by the post-acute care population.
A strength of simulations is that intervention effects can be estimated in the context of differing scenarios (e.g., whether or not patients misreport their adherence barriers, making standard tailoring more difficult) as well as in the context of random variability in key parameters, such as patients' daily adherence behavior.
Through this paper, we also aim to demonstrate the strengths of driving simulation in terms of interaction design for automated driving systems.
Our approach takes advantages of the complementary strengths of process simulation (in which mass, energy balances and thermodynamic calculations are implemented in an easy manner) and rigorous deterministic optimization tools.
One of the strengths of our simulation approach is that it allows the correlation between time-series in different grids to vary according to the distance between those grids.
Based on known prevalences and strengths of association, simulations will be developed to assess the degree to which inference regarding this hypothesis might be biased.
One perceived strength of the simulation was its capacity for graphical representation of the ED, thereby allowing stakeholders unfamiliar with simulation methods (ie, ED administration) to demonstrate the viability of the intervention.
The strength of Monte Carlo simulation lies in its ability to systematically vary several factors thought to affect identification of simulated effects.
In this regard, a particular strength of our simulation studies is that the sets of realizations could reflect networks of placebo-controlled trials, head-to-head trials or both placebo-controlled and head-to-head trials.
By exploiting modelling, simulation and visualisation techniques, this paper presents a tool concept called immersive WITNESS that combines the modelling strengths of Discrete Event Simulation (DES) with the 3D visualisation strengths of recent 3D low cost gaming technology to enable decision makers make informed design choices for future factories layouts.
