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

Science, statistics, and paired comparisons

R A Bradley

    Biometrics
    |June 1, 1976
    PubMed
    Summary
    This summary is machine-generated.

    Statistics are crucial for scientific discovery, requiring statisticians to be trained scientists. The study highlights the importance of stochastic models and the paired comparison method for understanding natural phenomena.

    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

    Polarization bistability and resultant spin rings in semiconductor microcavities.

    Physical review letters·2011
    Same author

    Effect of interactions on vortices in a nonequilibrium polariton condensate.

    Physical review letters·2010
    Same author

    Control of an outbreak of wet-tail in a closed colony of hamster (Mesocricetus auratus).

    The Veterinary record·1986
    Same author

    Automated leukocyte differentials in trisomy 13.

    Southern medical journal·1986
    Same author

    General approach to bacterial nutrition: growth factor requirements of Moraxella nonliquefaciens.

    Journal of bacteriology·1984
    Same author

    Probability models, estimation, and classification for multivariate dichotomous populations.

    Biometrics·1972
    Same journal

    Fast penalized generalized estimating equations for large longitudinal functional datasets.

    Biometrics·2026
    Same journal

    Causally-interpretable random-effects meta-analysis.

    Biometrics·2026
    Same journal

    Statistical inference for mean function of partially observed functional time series.

    Biometrics·2026
    Same journal

    Subgroup identification via Interaction Tree and Mixed Model for Repeated Measures with application to Alzheimer's disease.

    Biometrics·2026
    Same journal

    Finite mixtures of linear quantile regressions with concomitant variables: a solution to endogeneity in longitudinal data modeling.

    Biometrics·2026
    Same journal

    Discussion on "INTACT: a method for integration of longitudinal physical activity data from multiple sources" by Jingru Zhang, Erjia Cui, Hongzhe Li, and Haochang Shou.

    Biometrics·2026
    See all related articles

    Area of Science:

    • Statistics in scientific research
    • Mathematical and statistical modeling

    Background:

    • The integral role of statistics in advancing scientific understanding.
    • The necessity for statisticians to possess scientific training to address complex research questions.

    Purpose of the Study:

    • To emphasize the critical function of statistics within the scientific domain.
    • To underscore the need for statisticians to be adept scientists capable of developing and validating stochastic models.

    Main Methods:

    • Focus on the formulation, modification, and verification of stochastic models.
    • Exploration of the paired comparison method as a fundamental experimental technique.

    Main Results:

    • Stochastic models are essential for representing natural phenomena accurately.

    Related Experiment Videos

  • The paired comparison method, though simple, is supported by extensive model development literature.

    • Conclusions:

    • Statisticians must be trained scientists to meet the evolving needs of scientific inquiry.
    • The development and application of stochastic models, particularly through methods like paired comparisons, are vital for scientific progress.