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

Statistical methods for growth allometric studies.

T Mattfeldt, G Mall

    Growth
    |January 1, 1987
    PubMed
    Summary
    This summary is machine-generated.

    Biased regression methods can distort allometric study results. A linear functional relationship model offers an unbiased approach for analyzing growth allometry, ensuring accurate conclusions about geometric similarity and capillary development.

    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

    Sensitivity of temperature-based time since death estimation on measurement location.

    International journal of legal medicine·2023
    Same author

    Delayed occurrence of traumatic aortic dissection? Biomechanical considerations and literature.

    International journal of legal medicine·2022
    Same author

    [Bridging vein injuries in shaken baby syndrome : Forensic-radiological meta-analysis with special focus on the tadpole sign].

    Der Radiologe·2020
    Same author

    Slip and tilt: modeling falls over railings.

    International journal of legal medicine·2020
    Same author

    Forensic postmortem computed tomography in suspected unnatural adult deaths.

    European journal of radiology·2020
    Same author

    Injury pattern and the biomechanical assessment of skull fracture risk in blows with a rubber mallet.

    Forensic science international·2020
    Same journal

    Some aspects of the role of hormonal and nutritional factors in skeletal growth and development.

    Growth·2014
    Same journal

    Lymphoid tissue and its relation to so-called normal lymphoid foci and to lymphomatosis; simplification of methods for quantitative analyses and its application to the turkey.

    Growth·2014
    Same journal

    Variations in body weight and organ; body-weight ratios of inbred lines of white Leghorn chickens in relation to mortality, especially from lymphomatosis.

    Growth·2014
    Same journal

    The effect of biotin on mitotic activity in the liver of the mouse.

    Growth·2014
    Same journal

    Superoxide dismutase, thermal respiratory acclimation, and growth in an earthworm, Eisenia foetida.

    Growth·2013
    Same journal

    A comparison of regeneration rates and metamorphosis in Triturus and Amblystoma.

    Growth·2010
    See all related articles

    Area of Science:

    • Physiology
    • Stereology
    • Biometry

    Background:

    • Traditional regression methods (least squares, major axis, reduced major axis) in bivariate allometric studies rely on strict error assumptions.
    • Violations of these assumptions can introduce significant bias in slope estimation, potentially leading to incorrect biological interpretations.
    • A need exists for robust statistical models that can handle empirical data with inherent error structures in growth allometry.

    Purpose of the Study:

    • To introduce and illustrate the linear functional relationship (LFR) model as an unbiased method for analyzing cross-sectional growth allometric data.
    • To compare the LFR model with conventional regression techniques using stereological data from rat myocardial growth.
    • To assess the geometric similarity of myocardial cells and capillary development during postnatal growth.

    Related Experiment Videos

    Main Methods:

    • Application of the linear functional relationship model to logarithmically transformed bivariate data from a cross-sectional growth study.
    • Estimation of error structure from grouped empirical data (Wistar rats at different postnatal ages).
    • Stereological estimation of myocardial cell and capillary dimensions in rat left ventricular myocardium.

    Main Results:

    • Conventional regression techniques underestimated the slope and confidence intervals, suggesting a false lack of geometric similarity in myocardial cells during growth.
    • The linear functional relationship and instrumental variables methods yielded similar, unbiased results, supporting geometric similarity.
    • Positive allometry (b = 1.674) of total capillary length to total myocardial cell length indicated continuous capillary neoformation during growth.

    Conclusions:

    • The linear functional relationship model provides an unbiased statistical method for analyzing cross-sectional growth allometric studies.
    • Conventional regression methods can lead to erroneous conclusions regarding geometric similarity in biological growth.
    • The study demonstrates continuous capillary growth in the rat myocardium, with proliferative activity modulated by physiological demands during maturation.