Model replication techniques for parameter-influence studies and Monte Carlo simulation with random parameters |
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| Affiliation: | 1. School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden;2. Department of Clinical Microbiology, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden;3. Department of Microbiology and Immunology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden;4. Department of Clinical Pharmacology, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden;5. Department of Infectious Diseases, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden;6. Department of Infectious Diseases, Sahlgrenska University Hospital, Region Västra Götaland, Gothenburg, Sweden;7. Unit of Epidemiology, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden;8. Primary Health Care, Regionhälsan, Region Västra Götaland, Gothenburg, Sweden |
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| Abstract: | Modern computers produce large volumes of simulation results so quickly that their management becomes a formidable task. We describe interactive computer software for replicating simulation models with different parameters. A single simulation run then produces results for hundreds of models with different parameter values without the loop overhead imposed by repeated simulations. One can- 1.arrange corresponding values of model-parameter values and model performance measures in corresponding arrays suitable for use in commercially available spreadsheet and relational-database programs for further processing and archival storage, or
- 2.produce a Monte Carlo sample of model runs with random parameter values and compute statistics such as various averages or probability estimates as functions of simulation time in a single simulation run.
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