Measuring colorectal cancer incidence: the performance of an algorithm using administrative health data

Measuring colorectal cancer incidence: the performance of an algorithm using administrative health data

Abstract Background Certain cancer case ascertainment methods used in Quebec and elsewhere are known to underestimate the burden of cancer, particularly for some subgroups. Algorithms using claims data are a low-cost option to improve the quality of cancer surveillance, but have not frequently been...

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Bibliographic Details
Main Authors: Mamadou Diop, Erin C. Strumpf, Geetanjali D. Datta
Format: Article
Language:English
Published: BMC 2018-05-01
Series:BMC Medical Research Methodology
Subjects:
Colorectal cancer
Algorithm
Incidence
Administrative health data
Cancer registry
Online Access:http://link.springer.com/article/10.1186/s12874-018-0494-x

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http://link.springer.com/article/10.1186/s12874-018-0494-x

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