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L J Hayes

Biographic Data

ID6173102
NAMEL J Hayes
GIVEN NAMESL J
FAMILY NAMEHayes
SIGNATUREHAYES L J
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS4
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2002
LATEST PUBLICATION YEAR2002
H-INDEX1
  • Sampling variability of the Kunst-Mackenbach relative index of inequality

    L J Hayes, Lillian Hayes et al.•ARTICLE•Journal of Epidemiology and…•2002•Cited by: 4•References: 16

    Study objective: To derive methods of calculating confidence limits for the relative index of inequality, defined by Kunst and Mackenbach as a measure of the influence of socioeconomic status on an adverse health index, such as mortality rate. The methods may be used for a health outcome recorded on a continuous scale, as a Poisson count or as a binomial variable. Results and Conclusion: The confidence limits depend on the sampling variability of…

  • Sampling variability of the Kunst-Mackenbach relative index of inequality

    L J Hayes, Lillian Hayes et al.•ARTICLE•Journal of Epidemiology and…•2002•Cited by: 4•References: 16

    Study objective: To derive methods of calculating confidence limits for the relative index of inequality, defined by Kunst and Mackenbach as a measure of the influence of socioeconomic status on an adverse health index, such as mortality rate. The methods may be used for a health outcome recorded on a continuous scale, as a Poisson count or as a binomial variable. Results and Conclusion: The confidence limits depend on the sampling variability of…

  • Sampling variability of the Kunst-Mackenbach relative index of inequality

    L J Hayes, Lillian Hayes et al.•ARTICLE•Journal of Epidemiology and…•2002•Cited by: 4•References: 16

    Study objective: To derive methods of calculating confidence limits for the relative index of inequality, defined by Kunst and Mackenbach as a measure of the influence of socioeconomic status on an adverse health index, such as mortality rate. The methods may be used for a health outcome recorded on a continuous scale, as a Poisson count or as a binomial variable. Results and Conclusion: The confidence limits depend on the sampling variability of…

Confidence interval (1 work) · Econometrics (1 work) · Employment and Welfare Studies (1 work) · Environmental health (1 work) · Global Health Care Issues (1 work) · Index (typography) (1 work) · Linear regression (1 work) · Logarithmic scale (1 work) · Mathematics (1 work) · Medicine (1 work)

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