z-logo
open-access-imgOpen Access
Mortality Implications of Mortality Plateaus
Author(s) -
Trifon I. Missov,
James W. Vaupel
Publication year - 2015
Publication title -
siam review
Language(s) - English
Resource type - Journals
eISSN - 1095-7200
pISSN - 0036-1445
DOI - 10.1137/130912992
Subject(s) - plateau (mathematics) , multiplicative function , gompertz function , hazard ratio , hazard , mathematics , logarithm , statistics , baseline (sea) , gamma distribution , proportional hazards model , econometrics , distribution (mathematics) , confidence interval , mathematical analysis , geology , chemistry , oceanography , organic chemistry
This article aims to describe in a unified framework all plateau-generating random effects models in terms of (i) plausible distributions for the hazard (baseline mortality) and the random effect (unobserved heterogeneity, frailty) as well as (ii) the impact of frailty on the baseline hazard. Mortality plateaus result from multiplicative (proportional) and additive hazards, but not from accelerated failure time models. Frailty can have any distribution with regularly-varying-at-0 density and the distribution of frailty among survivors to each subsequent age converges to a gamma distribution. In a multiplicative setting the baseline cumulative hazard can be represented as the inverse of the negative logarithm of any completely monotone function. If the plateau is reached, the only meaningful solution at the plateau is provided by the gamma-Gompertz model.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom