Advertisement
AJPH
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
 QUICK SEARCH:   [advanced]


     


AJPH First Look, published online ahead of print Aug 20, 2009
This Article
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
AJPH.2008.143792v1
99/10/1739    most recent
Right arrow Submit a response
Right arrow purchase articles
Right arrow View Shopping Cart
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Right arrow Get other permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Dymova, N.
Right arrow Articles by Gagnon, R. N.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Dymova, N.
Right arrow Articles by Gagnon, R. N.
©
American Journal of Public Health, 10.2105/AJPH.2008.143792


Statistically Speaking

Use of the Global Test Statistic as a Performance Measurement in a Reananlysis of Environmental Health Data

Natalya Dymova 1, R. Choudary Hanumara 1, Richard T. Enander 2*, Ronald N. Gagnon 2

1 University of Rhode Island
2 Rhode Island Department of Environmental Management

* To whom correspondence should be addressed. E-mail: richard.enander{at}dem.ri.gov.


   Abstract

Performance measurement is increasingly viewed as an essential component of environmental and public health protection programs. In characterizing program performance over time, investigators often observe multiple changes resulting from a single intervention across a range of categories. Although a variety of statistical tools allow evaluation of data one variable at a time, the global test statistic is uniquely suited for analyses of categories or groups of interrelated variables. Here we demonstrate how the global test statistic can be applied to environmental and occupational health data for the purpose of making overall statements on the success of targeted intervention strategies.

Key Words: Environment, Government, Health Policy, Occupational Health, Prevention, Public Health Practice







HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
Copyright © 2009 by the American Public Health Association