2018
DOI: 10.1007/s13524-018-0695-2
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Bayesian Estimation of Age-Specific Mortality and Life Expectancy for Small Areas With Defective Vital Records

Abstract: High sampling variability complicates estimation of demographic rates in small areas. In addition, many countries have imperfect vital registration systems, with coverage quality that varies significantly between regions. We develop a Bayesian regression model for small-area mortality schedules that simultaneously addresses the problems of small local samples and underreporting of deaths. We combine a relational model for mortality schedules with probabilistic prior information on death registration coverage d… Show more

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Cited by 57 publications
(80 citation statements)
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“…On the other hand, analysis of the period 2001-2015 found an increase in the crude mortality rate from cardiovascular disease (CMRCVD). As these are less developed regions, the increase in CVD mortality rates might be related to the population's increased life expectancy and an increased prevalence of cardiovascular risk factors such as educational level, health conditions, institutional factors, the environment, and the socioeconomic situation to which the population is exposed Borges 2017;França et al 2017;Lotufo 2019), as well as improvements in death registration and vital statistics (Mathers et al 2005;França et al 2008;Luy 2010;Queiroz et al 2017;Schmertmann and Gonzaga 2018).…”
Section: Resultsmentioning
confidence: 99%
“…On the other hand, analysis of the period 2001-2015 found an increase in the crude mortality rate from cardiovascular disease (CMRCVD). As these are less developed regions, the increase in CVD mortality rates might be related to the population's increased life expectancy and an increased prevalence of cardiovascular risk factors such as educational level, health conditions, institutional factors, the environment, and the socioeconomic situation to which the population is exposed Borges 2017;França et al 2017;Lotufo 2019), as well as improvements in death registration and vital statistics (Mathers et al 2005;França et al 2008;Luy 2010;Queiroz et al 2017;Schmertmann and Gonzaga 2018).…”
Section: Resultsmentioning
confidence: 99%
“…We provide a descriptive and comparative analysis of different sources of estimates in Brazil at the subnational levels, at two different points in time. Our analysis focused on comparison of the estimated completeness of death registration produced by IBGE and IHME to those produced by IBGE and DDM-R [9] and, for 2010, to estimates from the Bayesian model [6].…”
Section: General Overview Of Data and Methodsmentioning
confidence: 99%
“…Schmertmann and Gonzaga [6] do not use directly DDM in their estimates. They combine a relational model for mortality schedules with probabilistic prior information on completeness of death registration obtained from several studies, and from field audits done by public health experts [26].…”
Section: Bayesian Modelmentioning
confidence: 99%
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