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This paper is in the following e-collection/theme issue:

Public Health Data Visualization and Pattern Recognition (68)

Published on in Vol 7, No 3 (2015):

JMIR Publications logo: Advancing Digital Health & Open Science

Visualizing the quality of partially accruing data for use in decision making

Visualizing the quality of partially accruing data for use in decision making

Authors of this article:

Julia Eaton1 ;   Ian Painter2 ;   Donald Olson3 ;   William Lober2
The full text of this article is available as a PDF download by clicking here.
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Julia Eaton   1 ;   Ian Painter   2 ;   Donald Olson   3 ;   William Lober   2

1 University of Washington Tacoma

2 University of Washington

3 New York City Department of Health and Mental Hygiene

Corresponding Author:

  • Julia Eaton
  • University of Washington Tacoma