Literature DB >> 19696393

Use of the global test statistic as a performance measurement in a reanalysis of environmental health data.

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


  3 in total

1.  Environmental health practice: statistically based performance measurement.

Authors:  Richard T Enander; Ronald N Gagnon; R Choudary Hanumara; Eugene Park; Thomas Armstrong; David M Gute
Journal:  Am J Public Health       Date:  2007-01-31       Impact factor: 9.308

2.  The analysis of multiple endpoints in clinical trials.

Authors:  S J Pocock; N L Geller; A A Tsiatis
Journal:  Biometrics       Date:  1987-09       Impact factor: 2.571

3.  Procedures for comparing samples with multiple endpoints.

Authors:  P C O'Brien
Journal:  Biometrics       Date:  1984-12       Impact factor: 2.571

  3 in total

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