Discussion of “Power Priors for Leveraging Historical Data: Looking Back and Looking Forward”✩
Volume 23, Issue 1 (2025), pp. 31–37
Pub. online: 4 February 2025
Type: Discussion
Open Access
Open Access
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Main article: https://doi.org/10.6339/24-JDS1161.
Published
4 February 2025
4 February 2025
References
Alt EM, Chen X, Carvalho LM, Ibrahim JG (2024). hdbayes: Bayesian Analysis of Generalized Linear Models with Historical Data. R package version 0.1.1. https://CRAN.R-project.org/package=hdbayes
Chen MH, Guan Z, Lin M, Sun M (2025). Power priors for leveraging historical data: Looking back and looking forward. Journal of Data Science, 23(1): 1–30. https://doi.org/10.6339/24-JDS1161
Gong Y, Chen F (2023). Bayesian models with the power prior using PROC BGLIMM. SAS Statistics Research and Applications Paper 2023-03. SAS Institute Inc., Cary, NC. https://support.sas.com/content/dam/SAS/support/en/technical-papers/bayesian-models-with-the-power-prior-using-proc-bglimm.pdf
Ho DE, Imai K, King G, Stuart EA (2011). MatchIt: Nonparametric preprocessing for parametric causal inference. Journal of Statistical Software, 42(8): 1–28. https://doi.org/10.18637/jss.v042.i08
Ibrahim JG, Chen MH (2000). Power prior distributions for regression models. Statistical Science, 15(1): 46–60. https://doi.org/10.1214/ss/1009212673
SAS Institute Inc (2025). SAS/STAT User’s Guide. SAS Institute Inc., Cary, NC. Revised January 2025. https://documentation.sas.com/doc/en/pgmsascdc/v_059/statug/titlepage.htm
