The impact of data quality on spatial analysis of cancer registry data: The example of missing stage at diagnosis and late-stage colorectal cancer

Recinda Sherman, Kevin Henry, David J Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations
Original languageEnglish
Title of host publicationHealthGIS 2013 - Proc. of the 2nd ACM SIGSPATIAL Int. Workshop on the Use of GIS in Public Health, In Conjunction with the 21st ACM SIGSPATIAL Int. Conf. on Advances in Geographic Information Systems
PublisherAssociation for Computing Machinery
Pages18-26
Number of pages9
DOIs
StatePublished - Jan 1 2013
Event2nd ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health, HealthGIS 2013 - In Conjunction with the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems - Orlando, FL, United States
Duration: Nov 5 2013Nov 5 2013

Other

Other2nd ACM SIGSPATIAL International Workshop on the Use of GIS in Public Health, HealthGIS 2013 - In Conjunction with the 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
CountryUnited States
CityOrlando, FL
Period11/5/1311/5/13

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Keywords

  • Area-based measures
  • Cluster detection
  • Colorectal cancer
  • Data quality
  • Screening disparities
  • Stage at diagnosis

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Software

Cite this

Sherman, R., Henry, K., & Lee, D. J. (2013). The impact of data quality on spatial analysis of cancer registry data: The example of missing stage at diagnosis and late-stage colorectal cancer. In HealthGIS 2013 - Proc. of the 2nd ACM SIGSPATIAL Int. Workshop on the Use of GIS in Public Health, In Conjunction with the 21st ACM SIGSPATIAL Int. Conf. on Advances in Geographic Information Systems (pp. 18-26). Association for Computing Machinery. https://doi.org/10.1145/2535708.2535714