Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

The Gompertz equation as a predictive tool in demography

L D Mueller1, T J Nusbaum, M R Rose

  • 1Department of Ecology and Evolutionary Biology, University of California, Irvine 92717, USA.

Experimental Gerontology
|November 1, 1995
PubMed
Summary

This study introduces improved methods for estimating Gompertz model parameters, crucial for understanding aging and mortality rates. A new maximum likelihood approach offers more accurate predictions of longevity and mortality percentiles.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

MULTIPLE GENETIC MECHANISMS FOR THE EVOLUTION OF SENESCENCE IN DROSOPHILA MELANOGASTER.

Evolution; international journal of organic evolution·2017
Same author

Genomics of Parallel Experimental Evolution in Drosophila.

Molecular biology and evolution·2017
Same author

Tracking changes in chromosomal arrangements and their genetic content during adaptation.

Journal of evolutionary biology·2016
Same author

188th ENMC International Workshop: Inclusion Body Myositis, 2-4 December 2011, Naarden, The Netherlands.

Neuromuscular disorders : NMD·2013
Same author

From nature to the laboratory: the impact of founder effects on adaptation.

Journal of evolutionary biology·2012
Same author

Patterns of male fitness conform to predictions of evolutionary models of late life.

Journal of evolutionary biology·2012

Area of Science:

  • Demography
  • Biostatistics
  • Gerontology

Background:

  • The Gompertz model is fundamental for describing aging and mortality.
  • Traditional estimation methods rely on a questionable assumption of constant mortality rates.
  • Accurate parameter estimation is vital for predicting lifespan and understanding aging processes.

Purpose of the Study:

  • To compare various methods for estimating Gompertz model parameters (alpha and A).
  • To identify the most accurate estimation method, particularly when mortality rates are not constant.
  • To develop methods for predicting mean longevity and mortality percentiles using the Gompertz equation.

Main Methods:

  • Comparison of multiple Gompertz parameter estimation techniques.
  • Application of a maximum likelihood method that does not assume constant mortality rates.

Related Experiment Videos

  • Development of methods for calculating confidence intervals for longevity and mortality predictions.

    • Main Results:

    • A maximum likelihood method without the constant mortality rate assumption demonstrated superior performance.
    • This method showed reduced bias and variance in Gompertz parameter estimates.
    • Accurate predictions of mean longevity and the time of the nth percentile of mortality were achieved.

    Conclusions:

    • The proposed maximum likelihood method offers a more robust approach to Gompertz parameter estimation.
    • This method enables reliable prediction of longevity and mortality patterns, even with non-constant mortality rates.
    • Early mortality data from large cohorts can potentially expedite longevity estimations for long-lived organisms.