• Title of article

    Testing Trend for Count Data with Extra-Poisson Variability

  • Author/Authors

    Astuti، Erni Tri نويسنده , , Yanagawa، Takashi نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2002
  • Pages
    -397
  • From page
    398
  • To page
    0
  • Abstract
    Trend tests for monotone trend or umbrella trend (monotone upward changing to monotone downward or vise versa) in count data are proposed when the data exhibit extra-Poisson variability. The proposed tests, which are called the GS1 test and the GS2 test, are constructed by applying an orthonormal score vector to a generalized score test under an rth-order log-linear model. These tests are compared by simulation with the Cochran-Armitage test and the quasi-likelihood test of Piegorsch and Bailer (1997, Statastics for Enuiron, mental Biology and Toxicology). It is shown that the Cochran-Armitage test should not be used under the existence of extra-Poisson variability; that, for detecting monotone trend, the GS1 test is superior to the others; and that the GS2 test has high power to detect an umbrella response.
  • Keywords
    CHROMOSOMAL FRAGILE SITES , IDENTIFICATION OF CHROMOSOMAL FRAGILE SITES , APPLICABILITY , ANALYSIS METHODS
  • Journal title
    BIOMETRICS (BIOMETRIC SOCIETY)
  • Serial Year
    2002
  • Journal title
    BIOMETRICS (BIOMETRIC SOCIETY)
  • Record number

    84139