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

Surveillance Methods in Population and Public Health (111)

Published on in Vol 10, No 1 (2018):

Nonparametric Models for Identifying Gaps in Message Feeds

Nonparametric Models for Identifying Gaps in Message Feeds

Nonparametric Models for Identifying Gaps in Message Feeds

Authors of this article:

Andrew Walsh1
The full text of this article is available as a PDF download by clicking here.
Article Authors Cited by (1) Tweetations Metrics

Journals

  1. Greene S, Andrews E, Evans Lloyd P, Baumgartner J, Peterson E. Detecting Drop-offs in Electronic Laboratory Reporting for Communicable Diseases in New York City. Journal of Public Health Management and Practice 2020;26(6):570 View