The Cost-Effectiveness of High-Risk Lung Cancer Screening and Drivers of Program Efficiency

Sonya Cressman, Stuart J. Peacock, Martin C. Tammemägi, William K. Evans, Natasha B. Leighl, John R. Goffin, Alain Tremblay, Geoffrey Liu, Daria Manos, Paul MacEachern, Rick Bhatia, Serge Puksa, Garth Nicholas, Annette McWilliams, John R. Mayo, John Yee, John C. English, Reka Pataky, Emily McPherson, Sukhinder Atkar-Khattra, Michael R. Johnston, Heidi Schmidt, Frances A. Shepherd, Kam Soghrati, Kayvan Amjadi, Paul Burrowes, Christian Couture, Harmanjatinder S. Sekhon, Kazuhiro Yasufuku, Glenwood Goss, Diana N. Ionescu, David M. Hwang, Simon Martel, Don D. Sin, Wan C. Tan, Stefan Urbanski, Zhaolin Xu, Ming-Sound Tsao and Stephen Lam

Mathematica Policy Research Reports from Mathematica Policy Research

Abstract: Lung cancer risk prediction models have the potential to make programs more affordable; however, the economic evidence is limited.

Keywords: Cost-effectiveness; Lung cancer screening; Economics; Screening operations (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-eff and nep-hea
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1556086417303544 (text/html)

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:mpr:mprres:b5ec4f767498407ea0cd2ce8cb36f0ec

Access Statistics for this paper

More papers in Mathematica Policy Research Reports from Mathematica Policy Research Mathematica Policy Research P.O. Box 2393 Princeton, NJ 08543-2393 Attn: Communications. Contact information at EDIRC.
Bibliographic data for series maintained by Joanne Pfleiderer () and Cindy George ( this e-mail address is bad, please contact ).