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Principles & Practice of Public Health Surveillance$
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Lisa M. Lee, Steven M. Teutsch, Stephen B. Thacker, and Michael E. St. Louis

Print publication date: 2010

Print ISBN-13: 9780195372922

Published to Oxford Scholarship Online: September 2010

DOI: 10.1093/acprof:oso/9780195372922.001.0001

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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2020. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 24 October 2020

Analyzing and Interpreting Public Health Surveillance Data

Analyzing and Interpreting Public Health Surveillance Data

(p.88) 6 Analyzing and Interpreting Public Health Surveillance Data
Principles & Practice of Public Health Surveillance

Patrick S. Sullivan

Matthew T. McKenna

Lance A. Waller

G. David Williamson

Lisa M. Lee

Oxford University Press

This chapter includes several new sections on inferential analysis of public health surveillance data. It provides a guide using a thoughtful approach to complex statistical analyses for the data rich environment in which surveillance practitioners find themselves. Included in this chapter are sections on trend analyses, survival (or time-to-event) analyses, analyses of associations in cross sectional data, analyses of data from complex survey designs, aberration detection analysis, detection of clustering, and mapping and geo-analyses. New examples from actual public health surveillance systems are used to demonstrate analytic techniques.

Keywords:   analysis, descriptive statistics, inferential statistics, aberration detection, surveillance, statistical analysis

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