Záznam dôkazov metódy

Simulation-assisted cross-sectional research

Simulation-assisted cross-sectional research combines the one-time, population-wide snapshot of a classic cross-sectional survey with computational simulation — such as agent-based modelling or Monte Carlo methods — to extend what can be inferred from data collected at a single point in time. Empirical cross-sectional data calibrate the simulation, which then explores counterfactuals, rare subgroups, or dynamic processes that the survey alone cannot reveal.

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Simulation-Assisted Cross-Sectional Research Design

Taxonomický záznam metódy · process-pipeline / research-design

Pearce, N. (2012). Classification of epidemiological study designs. International Journal of Epidemiology, 41(2), 393–397. · DOI 10.1093/ije/dys049
Sterman, J. D. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World. McGraw-Hill. · ISBN 978-0072389159

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Same method familyAgent-Based Modelingmachine-suggested · Relational suggestion, not evidence.See alsoMONTE-CARLO-SIMULATIONmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSurvey Researchmachine-suggested · Relational suggestion, not evidence.