A scaled kernel density estimation prior for dynamic borrowing of historical information with application to clinical trial design
Joshua L. Warren,
Qi Wang,
Maria M. Ciarleglio
Abstract:Incorporating historical data into a current data analysis can improve estimation of parameters shared across both datasets and increase the power to detect associations of interest while reducing the time and cost of new data collection. Several methods for prior distribution elicitation have been introduced to allow for the data‐driven borrowing of historical information within a Bayesian analysis of the current data. We propose scaled Gaussian kernel density estimation (SGKDE) prior distributions as potenti… Show more
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