A Bayesian hierarchical model for prediction of latent health states from multiple data sources with application to active surveillance of prostate cancer
Rebecca Yates Coley,
Aaron J. Fisher,
Mufaddal Mamawala,
Herbert Ballentine Carter,
Kenneth J. Pienta and
Scott L. Zeger
Biometrics, 2017, vol. 73, issue 2, 625-634
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1111/biom.12577 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:biomet:v:73:y:2017:i:2:p:625-634
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0006-341X
Access Statistics for this article
More articles in Biometrics from The International Biometric Society
Bibliographic data for series maintained by Wiley Content Delivery ().