A Bayesian two part model applied to analyze risk factors of adult mortality with application to data from Namibia.

ABSTRACT: Despite remarkable gains in life expectancy and declining mortality in the 21st century, in many places mostly in developing countries, adult mortality has increased in part due to HIV/AIDS or continued abject poverty levels. Moreover many factors including behavioural, socio-economic and demographic variables work simultaneously to impact on risk of mortality. Understanding risk factors of adult mortality is crucial towards designing appropriate public health interventions. In this paper we proposed a structured additive two-part random effects regression model for adult mortality data. Our proposal assumed two processes: (i) whether death occurred in the household (prevalence part), and (ii) number of reported deaths, if death did occur (severity part). The proposed model specification t

SUBMITTER: Kazembe LN 

PROVIDER: S-EPMC3774685 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature