Open AccessUse of the Global Test Statistic as a Performance Measurement in a Reananlysis of Environmental Health Data
Author(s) -
Natalya Dymova,
R. Choudary Hanumara,
Richard T. Enander,
Ronald N. Gag
Publication year - 2009
Publication title -
american journal of public health
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.284
H-Index - 264
eISSN - 1541-0048
pISSN - 0090-0036
DOI - 10.2105/ajph.2008.143792
Subject(s) - statistic , public health , test (biology) , test statistic , environmental health , environmental data , variable (mathematics) , statistics , variety (cybernetics) , statistical hypothesis testing , computer science , psychology , data science , econometrics , applied psychology , medicine , mathematics , political science , paleontology , mathematical analysis , nursing , law , biology
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.