A framework using generative AI to produce synthetic multilevel data for Monte Carlo simulations that evaluate the performance and parameter recovery of quantitative methods.
Statistics in medicine , volume=
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Multiple imputations for missing data in SHARELIFE Waves 3 and 7 were generated via fully conditional specification, with validity assessed against observed values, inverse propensity weighting, and external SHARE benchmarks.
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Generative AI-Based Monte Carlo Simulation for Method Evaluation Using Synthetic Multilevel Data
A framework using generative AI to produce synthetic multilevel data for Monte Carlo simulations that evaluate the performance and parameter recovery of quantitative methods.
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SHARELIFE Imputations
Multiple imputations for missing data in SHARELIFE Waves 3 and 7 were generated via fully conditional specification, with validity assessed against observed values, inverse propensity weighting, and external SHARE benchmarks.