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  1. 23 Μαρ 2021 · In this Tutorial, we simulate data from a design with crossed random factors of subjects and stimuli, fit a model to the simulated data, and then see whether the resulting sample estimates are similar to the population values we specified when simulating the data.

  2. 1 Δεκ 2017 · Here we systematically review the use of simulation modelling in mental healthcare, identifying 160 papers. There were widespread and innovative applications of simulation in the areas of medical decision making and epidemiology, with health system planning and optimisation relatively underrepresented.

  3. 4 Μαΐ 2021 · These findings have implications for integrating theories of how mental simulations change behavior, how mental simulations are classified, and may help guide professionals seeking evidence-based and cost-effective methods of changing behavior.

  4. 29 Ιουν 2017 · This paper presents a hybrid simulation modelling framework that is uniquely able to capture both disease progression, using Agent-Based Modeling, and related care pathways, using System...

  5. 13 Μαρ 2017 · Agent-based modeling is a long-standing but underused method that allows researchers to simulate artificial worlds for hypothesis testing and theory building. Agent-based models (ABMs) offer unprec...

  6. 10 Αυγ 2020 · To examine how data from simulation has been generated and used in qualitative research, we conducted a scoping review of research topics and data collection and analysis processes reported in qualitative research using simulation in the research method.

  7. An agent-based model (ABM) consists of a number of virtual individuals—the “agents”—interacting in an artificial, experimenter-controlled environment. In this article, we discuss several characteristics of ABMs that could prove particularly useful with respect to recent recommendations aimed at countering issues related to the current ...

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