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

Comparative methods for the analysis of continuous variables: geometric interpretations.

F J Rohlf1

  • 1Department of Ecology and Evolution, State University of New York at Stony Brook, 11794-5245, USA. rohlf@life.bio.sunysb.edu

Evolution; International Journal of Organic Evolution
|January 17, 2002
PubMed
Summary
This summary is machine-generated.

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

The evolution of mammalian brain size.

Science advances·2021
Same author

Testing species' deviation from allometric predictions using the phylogenetic regression.

Evolution; international journal of organic evolution·2016
Same author

Criteria for the evaluation of alternative environmental monitoring variables: Theory and an application using winter flounder (Pleuronectes americanus) and Dover sole (Microstomus pacificus).

Environmental monitoring and assessment·2013
Same author

In defence of logarithmic transformations.

Statistics in medicine·2013
Same author

Combining geometric morphometrics, molecular phylogeny, and micropaleontology to assess evolutionary patterns in Mallomonas (Synurophyceae: Heterokontophyta).

Geobiology·2013
Same author

Morphometrics and phylogenetics: principal components of shape from cranial modules are neither appropriate nor effective cladistic characters.

Journal of human evolution·2010
Same journal

The role of microbial resource mutualists in plant adaptation to abiotic environments.

Evolution; international journal of organic evolution·2026
Same journal

Museum genomics links MC1R alleles to adaptive winter coat color polymorphism in the long-tailed weasel.

Evolution; international journal of organic evolution·2026
Same journal

Repeated evolution of iridescence and hindwing tails is associated with morphometric flight proxies in skipper butterflies.

Evolution; international journal of organic evolution·2026
Same journal

Temperature-dependent competition predicts contrasting outcomes of adjacent secondary contact zones in darters (Percidae:Etheostoma).

Evolution; international journal of organic evolution·2026
Same journal

Sex allocation of hermaphrodites in metapopulations with frequent population extinction and recolonization.

Evolution; international journal of organic evolution·2026
Same journal

The phylogenetic signal of extinction through the rise and fall of early vertebrates: field of bullets or clustered strike?

Evolution; international journal of organic evolution·2026
See all related articles

This study compares statistical methods for analyzing phylogenetically related species data. Phylogenetic generalized least-squares (PGLS) is shown to encompass phylogenetically independent contrasts (PIC), offering corrected standard errors for ancestral state estimations.

Area of Science:

  • Comparative statistical methods
  • Phylogenetic analysis
  • Evolutionary biology

Background:

  • Comparative data analysis requires methods accounting for phylogenetic relatedness.
  • Common methods include phylogenetically independent contrasts (PIC), phylogenetic generalized least-squares (PGLS), and phylogenetic autocorrelation (PA).
  • Previous studies have had limitations in accurately estimating parameters and handling specific tree structures.

Purpose of the Study:

  • To compare the statistical methods PIC, PGLS, and PA for analyzing comparative data.
  • To clarify the relationships between these phylogenetic statistical methods.
  • To provide corrected algorithms and address limitations in existing approaches.

Main Methods:

  • Comparison of PIC, PGLS, and PA methods.

Related Experiment Videos

  • Application of PGLS with an intercept to demonstrate its relationship with PIC.
  • Graphical representation of method relationships using multivariate vector spaces.
  • Development of a corrected maximum-likelihood algorithm for the autoregressive parameter (p).

    • Main Results:

    • Phylogenetically independent contrasts (PIC) are shown to be a special case of phylogenetic generalized least-squares (PGLS).
    • PGLS provides corrected standard errors for ancestral state estimations.
    • The phylogenetic autocorrelation (PA) method has limitations for comparative studies and cannot be made equivalent to PGLS.
    • A corrected algorithm for estimating the autoregressive parameter (p) is provided.

    Conclusions:

    • PGLS is a versatile method that encompasses PIC, offering robust analysis of comparative data.
    • The PA method's limitations restrict its utility in phylogenetic comparative studies.
    • Accurate estimation of evolutionary parameters and handling of tree structures are crucial for reliable phylogenetic analyses.