| Literature DB >> 19696393 |
Natalya Dymova1, R Choudary Hanumara, Richard T Enander, Ronald N Gagnon.
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.Mesh:
Year: 2009 PMID: 19696393 PMCID: PMC2741516 DOI: 10.2105/AJPH.2008.143792
Source DB: PubMed Journal: Am J Public Health ISSN: 0090-0036 Impact factor: 9.308