Power Priors for Leveraging Historical Data: Looking Back and Looking Forward

Music City Center 

Historical data or real-world data are often available in clinical trials, genetics, health care, psychology, environmental health, engineering, economics, and business. The power priors have emerged as a useful class of informative priors for a variety of situations in which historical data are available. In this paper, an overview of the development of the power priors is provided. Various variations of the power priors are derived under a binomial regression model and a normal linear regression model. The development of software on the power priors is also briefly reviewed. Throughout this paper, the data from the Kociba study and the National Toxicology Program (NTP) study as well as the data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) study are used to demonstrate the derivations of the power priors and their variations. Detailed analyses of the Kociba, NTP, and ADNI data are carried out to further demonstrate the usefulness of the power priors and their variations in these real applications. Finally, the directions of future research on the power priors are discussed.

Borrowing-by-parts power priors

Normalized power priors

Partial borrowing power priors

Partial borrowing-by-parts power priors

Propensity score based power priors