Use of the global test statistic as a performance measurement in a reanalysis of environmental health data.
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.
Dymova
Natalya
N
Department of Computer Science and Statistics, University of Rhode Island, Kingston, RI, USA.
Hanumara
R Choudary
RC
Enander
Richard T
RT
Gagnon
Ronald N
RN
D003627:Data Interpretation, Statistical; D004781:Environmental Exposure; D004782:Environmental Health / Q000706:statistics & numerical data*; D014943:Global Health; D006302:Health Services Research / Q000379:methods / Q000706:statistics & numerical data*; D006801:Humans; D016272:Occupational Health / Q000706:statistics & numerical data; D040442:Public Health Informatics / Q000706:statistics & numerical data*; D013223:Statistics as Topic; D014481:United States
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