Literature DB >> 8057692

Might stochasticity and sampling variation be a possible explanation for variation in clonal population survival curves.

M Witten1.   

Abstract

Biogerontological survival analysis attempts to understand, through the use of mathematical and computer models, how biological and environmental processes affect the dynamics of survival. The survival model parameters are assumed to reflect an average or mean response to some intervention. Further, these parameters are usually assumed to be constant over the time course of the experiment and across the elements of the experimental cohort. In this paper, we introduce stochastic (random) features to the survival curve parameters and we observe how this might affect our interpretation of the biology; as reflected in the estimates of the model parameters. In particular, we provide a possible explanation for variation in parameter estimates within sample populations drawn from a population of genetic clones.

Mesh:

Year:  1994        PMID: 8057692     DOI: 10.1016/0047-6374(94)90054-x

Source DB:  PubMed          Journal:  Mech Ageing Dev        ISSN: 0047-6374            Impact factor:   5.432


  2 in total

1.  Intrinsic time scaling in survival analysis: application to biological populations.

Authors:  T Eakin
Journal:  Bull Math Biol       Date:  1994-11       Impact factor: 1.758

2.  Age-specific patterns of genetic variance in Drosophila melanogaster. I. Mortality.

Authors:  D E Promislow; M Tatar; A A Khazaeli; J W Curtsinger
Journal:  Genetics       Date:  1996-06       Impact factor: 4.562

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.