z-logo
open-access-imgOpen Access
Complementary Gompertz Survival Models: Decreasing Alive Versus Increasing Dead
Author(s) -
Dexter M. Easton
Publication year - 2009
Publication title -
the journals of gerontology series a
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.134
H-Index - 189
eISSN - 1758-535X
pISSN - 1079-5006
DOI - 10.1093/gerona/glp022
Subject(s) - gompertz function , sigmoid function , exponential growth , mathematics , statistics , population , survival analysis , biology , demography , mathematical analysis , computer science , machine learning , sociology , artificial neural network
The survival patterns of many animals can be classified into one of two asymmetric sigmoid forms: One group can be predicted from the standard, classical Gompertz assumption that, with age, the number of individuals alive in the population decreases exponentially at an exponentially increasing rate. The other can be predicted from the alternative Gompertz assumption that, with age, the number of individuals that have died increases exponentially at an exponentially decreasing rate. The two models have similar mathematical forms, but the curves are not the same. In contrast to the standard, the alternative form has an early rapid fall and terminates in a gradual decay of the number of live individuals. It fits "non-Gompertzian" survival plots that are not predicted by the number-alive assumption. Analyses of published data show one or the other survival mode in various animal populations, depending on sex, genetic strain, nutrition, or activity.

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