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Variance estimation methods for health expectancy by relative socio-economic status

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Organization
Abstract
In many studies, health expectancies (HE) by relative socio-economic status have been calculated but the estimation of confidence intervals and the performance of tests of significance for differences in HE between sub-populations have been impeded by lack of variance estimation methods. Also in most scenarios, the sampling designs of the surveys from which prevalence of ill-health conditions are obtained have been ignored. This paper aims at presenting variance estimation techniques such as the bootstrap and the delta method taking account of the survey design. The study suggests that using the raw survey data and the Delta method while accounting for the survey design, gives better estimates for the variance compared to the bootstrap method and therefore is a highly recommended method for variance estimation of HE by relative socio-economic status.
Keywords
bootstrap, survey design, delta method, variance, prevalence, sullivan, LIFE EXPECTANCY, SOCIAL-CLASS, INEQUALITIES, MORTALITY, MORBIDITY, INDEX

Citation

Please use this url to cite or link to this publication:

MLA
Abatih, Emmanuel et al. “Variance Estimation Methods for Health Expectancy by Relative Socio-economic Status.” EUROPEAN JOURNAL OF EPIDEMIOLOGY 23.4 (2008): 243–249. Print.
APA
Abatih, E., Van Oyen, H., Bossuyt, N., & Bruckers, L. (2008). Variance estimation methods for health expectancy by relative socio-economic status. EUROPEAN JOURNAL OF EPIDEMIOLOGY, 23(4), 243–249.
Chicago author-date
Abatih, Emmanuel, Herman Van Oyen, Nathalie Bossuyt, and Liesbeth Bruckers. 2008. “Variance Estimation Methods for Health Expectancy by Relative Socio-economic Status.” European Journal of Epidemiology 23 (4): 243–249.
Chicago author-date (all authors)
Abatih, Emmanuel, Herman Van Oyen, Nathalie Bossuyt, and Liesbeth Bruckers. 2008. “Variance Estimation Methods for Health Expectancy by Relative Socio-economic Status.” European Journal of Epidemiology 23 (4): 243–249.
Vancouver
1.
Abatih E, Van Oyen H, Bossuyt N, Bruckers L. Variance estimation methods for health expectancy by relative socio-economic status. EUROPEAN JOURNAL OF EPIDEMIOLOGY. 2008;23(4):243–9.
IEEE
[1]
E. Abatih, H. Van Oyen, N. Bossuyt, and L. Bruckers, “Variance estimation methods for health expectancy by relative socio-economic status,” EUROPEAN JOURNAL OF EPIDEMIOLOGY, vol. 23, no. 4, pp. 243–249, 2008.
@article{6992324,
  abstract     = {In many studies, health expectancies (HE) by relative socio-economic status have been calculated but the estimation of confidence intervals and the performance of tests of significance for differences in HE between sub-populations have been impeded by lack of variance estimation methods. Also in most scenarios, the sampling designs of the surveys from which prevalence of ill-health conditions are obtained have been ignored. This paper aims at presenting variance estimation techniques such as the bootstrap and the delta method taking account of the survey design. The study suggests that using the raw survey data and the Delta method while accounting for the survey design, gives better estimates for the variance compared to the bootstrap method and therefore is a highly recommended method for variance estimation of HE by relative socio-economic status.},
  author       = {Abatih, Emmanuel and Van Oyen, Herman and Bossuyt, Nathalie and Bruckers, Liesbeth},
  issn         = {0393-2990},
  journal      = {EUROPEAN JOURNAL OF EPIDEMIOLOGY},
  keywords     = {bootstrap,survey design,delta method,variance,prevalence,sullivan,LIFE EXPECTANCY,SOCIAL-CLASS,INEQUALITIES,MORTALITY,MORBIDITY,INDEX},
  language     = {eng},
  number       = {4},
  pages        = {243--249},
  title        = {Variance estimation methods for health expectancy by relative socio-economic status},
  url          = {http://dx.doi.org/10.1007/s10654-008-9227-5},
  volume       = {23},
  year         = {2008},
}

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