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Deciphering surveillance, epidemiology, and end results data analysis
Author(s) -
Oliver Kate E.,
Farley John H.
Publication year - 2011
Publication title -
cancer
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.052
H-Index - 304
eISSN - 1097-0142
pISSN - 0008-543X
DOI - 10.1002/cncr.26027
Subject(s) - surveillance, epidemiology, and end results , medicine , epidemiology , interpretation (philosophy) , population , pathology , environmental health , computer science , cancer registry , programming language
The Surveillance, Epidemiology, and End Results (SEER) Program is not without inherent biases, which necessarily limit interpretation of the data. The evaluation of any revised surgical staging system using the SEER database has all the intrinsic drawbacks to conclusions drawn from population‐based studies and should be interpreted with caution.