A multi-stage approach to maximizing geocoding success in a large population-based cohort study through automated and interactive processes
Submitted: 18 December 2014
Accepted: 18 December 2014
Published: 1 May 2012
Accepted: 18 December 2014
Abstract Views: 1688
PDF: 621
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
International Epidemiology Institute, Rockville, MD, United States.
International Epidemiology Institute, Rockville, MD, United States.
International Epidemiology Institute, Rockville, MD, United States.
International Epidemiology Institute, Rockville, MD, United States.
International Epidemiology Institute, Rockville, MD; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University, and Vanderbilt-Ingram Cancer Center, Nashville, TN, United States.
International Epidemiology Institute, Rockville, MD; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt University, and Vanderbilt-Ingram Cancer Center, Nashville, TN, United States.
How to Cite
Sonderman, J. S., Mumma, M. T., Cohen, S. S., Cope, E. L., Blot, W. J., & Signorello, L. B. (2012). A multi-stage approach to maximizing geocoding success in a large population-based cohort study through automated and interactive processes. Geospatial Health, 6(2), 273–284. https://doi.org/10.4081/gh.2012.145
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