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13 Μαρ 2017 · Agent-based models (ABMs) offer unprecedented control and statistical power by allowing researchers to precisely specify the behavior of any number of agents and observe their interactions over time.
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Agent-based modeling is a long-standing but underused method...
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Agent-based models (ABMs) offer unprecedented control and...
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29 Ιουν 2017 · While mental illness is one of the leading causes of international disease burden, within fifteen identified reviews of healthcare simulation only three included papers are in mental health. Here we systematically review the use of simulation modelling in mental healthcare, identifying 160 papers.
31 Οκτ 2023 · Simulation studies are widely used for evaluating the performance of statistical methods in psychology. However, the quality of simulation studies can vary widely in terms of their design,...
23 Μαρ 2021 · This Tutorial explains how to simulate data with random-effects structure and analyze the data using linear mixed-effects regression (with the lme4 R package), with a focus on interpreting the output in light of the simulated parameters.
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 ...
29 Ιουν 2017 · Markov modelling was the preferred method across area and illness. However, the literature is currently undermined by a lack of coherence and evidence of implementation, and we acknowledge an...
10 Αυγ 2020 · Our findings highlight that simulation can be used for analysis of phenomena that are difficult for researchers to gain access to firsthand, and we discuss features for consideration when using simulation in qualitative health research.
