Life Expectancies for Small Areas: A Bayesian Random Effects Methodology
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DOI: 10.1111/j.1751-5823.2009.00080.x
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References listed on IDEAS
- Julian Besag & Jeremy York & Annie Mollié, 1991. "Bayesian image restoration, with two applications in spatial statistics," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 43(1), pages 1-20, March.
- David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
- Senior, Martyn & Williams, Huw & Higgs, Gary, 2000. "Urban-rural mortality differentials: controlling for material deprivation," Social Science & Medicine, Elsevier, vol. 51(2), pages 289-305, July.
- Dani Gamerman, 1991. "Dynamic Bayesian Models for Survival Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 40(1), pages 63-79, March.
Citations
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Cited by:
- Carl P. Schmertmann & Marcos R. Gonzaga, 2018.
"Bayesian Estimation of Age-Specific Mortality and Life Expectancy for Small Areas With Defective Vital Records,"
Demography, Springer;Population Association of America (PAA), vol. 55(4), pages 1363-1388, August.
- Schmertmann, Carl & Gonzaga, Marcos Roberto, 2018. "Bayesian estimation of age-specific mortality and life expectancy for small areas with defective vital records," SocArXiv syzwx, Center for Open Science.
- Bernard Baffour & James Raymer, 2019. "Estimating multiregional survivorship probabilities for sparse data: An application to immigrant populations in Australia, 1981–2011," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 40(18), pages 463-502.
- Monica Alexander & Emilio Zagheni & Magali Barbieri, 2017. "A Flexible Bayesian Model for Estimating Subnational Mortality," Demography, Springer;Population Association of America (PAA), vol. 54(6), pages 2025-2041, December.
- Tom Wilson & Irina Grossman & Monica Alexander & Phil Rees & Jeromey Temple, 2022. "Methods for Small Area Population Forecasts: State-of-the-Art and Research Needs," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(3), pages 865-898, June.
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