Literature DB >> 12602776

A model of aging and a shape of the observed force of mortality.

M S Finkelstein1.   

Abstract

A probabilistic model of aging is considered. It is based on the assumption that a random resource, a stochastic process of aging (wear) and the corresponding anti-aging process are embedded at birth. A death occurs when the accumulated wear exceeds the initial random resource. It is assumed that the anti-aging process decreases wear in each increment. The impact of environment (lifestyle) is also taken into account. The corresponding relations for the observed and the conditional hazard rate (force of mortality) are obtained. Similar to some demographic models, the deceleration of mortality phenomenon is explained via the concept of frailty. Simple examples are considered.

Entities:  

Mesh:

Year:  2003        PMID: 12602776     DOI: 10.1023/a:1021886207236

Source DB:  PubMed          Journal:  Lifetime Data Anal        ISSN: 1380-7870            Impact factor:   1.588


  4 in total

1.  Slowing of mortality rates at older ages in large medfly cohorts.

Authors:  J R Carey; P Liedo; D Orozco; J W Vaupel
Journal:  Science       Date:  1992-10-16       Impact factor: 47.728

2.  Telomere end-replication problem and cell aging.

Authors:  M Z Levy; R C Allsopp; A B Futcher; C W Greider; C B Harley
Journal:  J Mol Biol       Date:  1992-06-20       Impact factor: 5.469

3.  The long-term pattern of adult mortality and the highest attained age.

Authors:  A R Thatcher
Journal:  J R Stat Soc Ser A Stat Soc       Date:  1999       Impact factor: 2.483

4.  The impact of heterogeneity in individual frailty on the dynamics of mortality.

Authors:  J W Vaupel; K G Manton; E Stallard
Journal:  Demography       Date:  1979-08
  4 in total
  1 in total

1.  Longevity and concentration in survival times: the log-scale-location family of failure time models.

Authors:  Chiara Gigliarano; Ugofilippo Basellini; Marco Bonetti
Journal:  Lifetime Data Anal       Date:  2016-02-01       Impact factor: 1.588

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.