Generates pseudo-data from one-time summary statistics to estimate GLMMs with results matching full-data estimates up to the third decimal place.
Generating high-fidelity privacy-conscious syn- thetic patient data for causal effect estimation with multiple treatments
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Federated generalized linear mixed models based on one-time shared summary statistics
Generates pseudo-data from one-time summary statistics to estimate GLMMs with results matching full-data estimates up to the third decimal place.