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Assessing Generative AI value in a public sector context: evidence from a field experiment
The emergence of Generative AI (Gen AI) has motivated an interest in understanding how it could be used to enhance productivity across various tasks.
Bayesian prognostic covariate adjustment
Here we go further, utilizing a Bayesian framework that combines prognostic covariate adjustment with an empirical prior distribution learned from the predictive performances of the prognostic model on past trials.
Increasing the efficiency of randomized trial estimates via linear adjustment for a prognostic score
When those conditions are not met, prognostic covariate adjustment is still more efficient than raw covariate adjustment and the gain in efficiency is proportional to a measure of the predictive accuracy of the prognostic model above and beyond the linear relationship with the raw covariates.
