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AJPH First Look, published online ahead of print Aug 20, 2009
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October 2009, Vol 99, No. 10 | American Journal of Public Health 1739-1741
© 2009 American Public Health Association
DOI: 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, MS, R. Choudary Hanumara, PhD, Richard T. Enander, PhD and Ronald N. Gagnon, MBA

Natalya Dymova and R. Choudary Hanumara are with the Department of Computer Science and Statistics, University of Rhode Island, Kingston. Richard T. Enander and Ronald N. Gagnon are with the Office of Technical and Customer Assistance, Rhode Island Department of Environmental Management, Providence.

Correspondence: Correspondence should be sent to Richard T. Enander, PhD, Rhode Island Department of Environmental Management, Office of Technical and Customer Assistance, 235 Promenade Street, Providence, RI 02908 (e-mail: richard.enander{at}dem.ri.gov). Reprints can be ordered at http://www.ajph.org by clicking the "Reprints/Eprints" link.

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.






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