Titlebook: Visualizing Mortality Dynamics in the Lexis Diagram; Roland Rau,Christina Bohk-Ewald,James W. Vaupel Book‘‘‘‘‘‘‘‘ 2018 The Editor(s) (if a

Nomogram

收養(yǎng)

明確

混合,攙雜

eustachian-tube

迎合

Data and Software,f the United States for the analysis of causes of death, and the individual-level, longitudinal data of the Surveillance, Epidemiology, and End Results (SEER) program of the National Cancer Institute of the United States. The latter is used to illustrate the dynamics of cancer survival.

VOK

Surface Plots of Observed Death Rates,f such “raw” death rates for a few selected national populations. One can easily see that random fluctuations can turn out be problematic for smaller populations as they may lead to misinterpretations.

天文臺(tái)

Surface Plots of Rates of Mortality Improvement,mprovement (“ROMI”), which are the derivative of age-specific mortality with respect to time. They have been introduced rather recently. By showing a large set of surface maps for countries from the Human Mortality Database, we argue that those ROMI plots are better able to detect period and cohort

驕傲

Surface Plots of Rates of Mortality Improvement for Selected Causes of Death in the United States,ecific mortality. They allow us to demonstrate that the slow increase in life expectancy among women in the United States during the 1980s and 1990s can not be attributed to heart diseases or stroke. Instead, mortality from respiratory diseases and from lung cancer, the latter featuring a pronounced

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