| Literature DB >> 25417231 |
Angela B Mariotto1, Anne-Michelle Noone2, Nadia Howlader2, Hyunsoon Cho2, Gretchen E Keel2, Jessica Garshell2, Steven Woloshin2, Lisa M Schwartz2.
Abstract
Survival statistics are of great interest to patients, clinicians, researchers, and policy makers. Although seemingly simple, survival can be confusing: there are many different survival measures with a plethora of names and statistical methods developed to answer different questions. This paper aims to describe and disseminate different survival measures and their interpretation in less technical language. In addition, we introduce templates to summarize cancer survival statistic organized by their specific purpose: research and policy versus prognosis and clinical decision making. Published by Oxford University Press 2014.Entities:
Mesh:
Year: 2014 PMID: 25417231 PMCID: PMC4829054 DOI: 10.1093/jncimonographs/lgu024
Source DB: PubMed Journal: J Natl Cancer Inst Monogr ISSN: 1052-6773