Qualitative analysis of the all-cause black-white mortality crossover.
To date, despite decades of investigations and the relative abundance of mortality data, our understanding of the phenomenon of 'mortality crossover' remains inadequate. We propose a methodology for transforming mortality data from the 'age-domain' to the 'time-domain'. We then introduce a model of selection partially offset by mobility, to simulate the dynamics of vulnerability in a population cohort that is heterogeneous in health and death. Using our model of vulnerability simulating the dynamics of mortality in the time-domain, we compare the mortality experience of the Black and White populations of the United States, identify the significance of selection and mobility as potential factors producing the crossover phenomenon, and make diagnostic use of them.
Mohtashemi
Mojdeh
M
Massachusetts Institute of Technology, Laboratory for Computer Science, 200 Technology Square, Room 419, Cambridge, MA 02139, USA. mojdeh@medg.lcs.mit.edu
Levins
Richard
R
D000293:Adolescent; D000328:Adult; D001741:Black or African American; D000368:Aged; D000369:Aged, 80 and over; D044383:Black People; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D009026:Mortality; D014481:United States; D044465:White People